JMIR Publications

JMIR Publications is a renowned publisher with a long-standing commitment to advancing digital health research and progressing open science. Our portfolio includes a wide array of prestigious open access, peer-reviewed journals dedicated to the dissemination of high-quality research in the field of digital health. JMIR Publications is celebrating its 25th anniversary in 2024 as the leading open access, digital health publisher.

About the Collection:

This collection highlights the breadth and quality of digital health research covered in the JMIR portfolio. Many of the articles you see are the products of Open Science best practices including open peer review of preprints and publication of a protocol prior to results - we greatly appreciate the work our reviewers do in maintaining the high standard required for truly open and constructive feedback. 

Although we publish across all fields of digital health featured topics include:

The New Digital Normal in Health and Medicine #newdigitalnormal 

 

A new standing Journal of Medical Internet Research theme issue: The Pandemic and Lockdowns has led to paradigm changes in health care - are the changes here to stay? 

JMIR Publications is issuing a call for papers to address key issues in the evolution of a new digital normal in health and medicine. In this open call for theme issue papers, JMIR Publications encourages authors to submit their work to our family of journals investigating evidence for paradigm changes in digital health care and public health induced by the pandemic and pandemic-related responses, such as lockdowns.

Digital health was formerly known by other names: “cybermedicine” in the late 1990s and “electronic health” or “eHealth” in the early 2000s, and new monikers have continued to be created in the years since. In parallel to the slow evolution of digital health, criticisms of the slow adoption of the “digital” aspect of health and medical education persisted—until 2020. 

Then, the global COVID pandemic that began in 2020 extraordinarily disrupted established routines, services, supply chains, and life in general, across all sectors, including health, and it accelerated the digital transformation in all areas of life, including medicine and health care. The development and adoption of all forms of digital health care services, including but not limited to telemedicine, home monitoring, and remote medical education, skyrocketed practically overnight—not out of choice, but out of necessity. In addition, the pandemic and lockdowns fueled an unprecedented level of innovation and rethinking of antiquated processes across numerous sectors. 

Digitization of services across sectors can influence the health and well-being of societies in previously unforeseen ways, and scholars will investigate the catalytic role of the pandemic for decades to come. The New Digital Normal in Health special theme issue across JMIR Publications’ journals will provide a home for studies that shed light on this line of research, and the accompanying social media campaign with the hashtag #newdigitalnormal will highlight news and research related to that topic.

During the COVID-19 pandemic, the internet and services reliant on internet access became lifelines to connect people together, in an attempt to sustain personal and family relationships, work functions in virtual workplaces, and access to essential services (eg, health care, education, and government or legal services). Working, studying, and socializing from home or from a distance became the new normal, and this will continue to be the case in many areas. With rapid innovation and digitization, particularly in health care, comes the potential for rapidly widening health and social disparities, as the digital divide between those who can and cannot access remote essential services grows and endangers the ideals of global health and social systems. New ethical, legal, and social issues not previously considered have also arisen. Furthermore, evaluation of innovations remains necessary to ensure safe care delivery that can rapidly recognize and mitigate or adapt to avoid unintended negative consequences. Digital health care should continue to strive to be not only patient-centered, timely, and efficient, but also safe, effective, and equitable, as advocated by the Institute for Healthcare Improvement. 

Future scholarly work may divide the paradigm changes in digital health care into pre- and post-COVID eras, and the generation that grows up in the post-COVID world (Generation Alpha) will have a different experience in all areas of life, much as there is a generation that grew up before the internet that had a different experience than the generation that came after (ie, pre– and post–World Wide Web). The development, socialization, and overall health and well-being of children, adolescents, and young adults during world-changing pandemic times may be forever altered as a result of the societal and systemic changes forced by COVID-19 and global responses.

But how sustainable are these innovations and shifts in services and workflows? What will be deemed successful? What are the unanticipated yet potentially beneficial (or harmful) consequences? How will societies and systems respond to new challenges in an ethical and equitable manner? How the pandemic has changed paradigms in health care, education, and business will be the subject of scholarly investigation for years, or even decades, to come.

JMIR Publications is issuing a standing call for papers to address these issues. We are interested in original research, systematic reviews, research letters, viewpoints, and other JMIR article types that explore these issues. 

Submissions may include but are not limited to the following topics: 

  • Before-after comparisons of telemedicine usage and adoption of other digital health services 

  • Impact of changes in digital health care delivery on health outcomes

  • Evaluation of digital technologies, including but not limited to utilization and adoption rates

  • Assessments of sustainability of digital technologies, with consideration of those that have permanently changed health care delivery

  • Cost-benefit analyses of the new digital normal 

  • Examination of challenges and unintended consequences of tech-driven health care delivery

  • Assessments of remote education and training of virtual clinicians and health professionals and their long-term impacts 

  • Development of initiatives and programs that enrich a diverse and inclusive pipeline of digital health and informatics professionals to address new pandemic-induced public health, medical, and scientific issues

  • Determination of the dynamics and impact of the tsunami of misinformation (infodemic) on societies, medicine, and science

  • Investigations of health disparities and inequities in digital services and technologies

  • Novel digital services and technologies for under-resourced or historically marginalized communities

  • Consequences of missed prevention and treatment encounters during the pandemic and how sustainable digital technologies are delivered to address disruptions in services 

  • New scientific methodologies, research conduct, and research ethics resulting from pandemic regulations and lockdowns

Submissions not reviewed or accepted for publication in this Journal of Medical Internet Research theme issue may be offered cascading peer review or transfer to other JMIR journals, according to standard JMIR Publications policies. 

Register your intent to submit

 

Responsible Design, Integration, and Use of Generative AI in Mental Health

 

JMIR Medical Education (2023 Impact Factor 5.2) and Guest Editors: Amir Tal, PhD, and Oren Asman, LLD welcome submissions to a special theme issue examining "Responsible Design, Integration, and Use of Generative AI in Mental Health."

This special theme issue aims to unite various stakeholders in exploring the responsible use of generative artificial intelligence (GAI) within the mental health domain. The goal is to curate a collection of articles that examine the advantages, challenges, and potential risks associated with deploying GAI models in mental health care while also proposing guidelines and best practices for the ethical and responsible implementation of these technologies.

The continued development of GAI necessitates a thoughtful approach to addressing its ethical considerations and responsibilities. GAI models have already demonstrated exciting abilities, including language generation, image synthesis, and personalized mental health interventions. Using these capabilities responsibly in the field of mental health requires careful examination and guidance.

The theme issue will encompass an interdisciplinary conceptualization of what responsible GAI in mental health should be, including but not limited to:

  • Ethical considerations in GAI-based mental health interventions

  • Evaluating the efficacy and safety of GAI models in mental health care

  • Explainability and interpretability of GAI outputs in mental health applications

  • Ensuring diversity, fairness, and mitigation of biases in GAI for mental health

  • Privacy and security implications of using GAI in mental health services

  • User perspectives and experiences with GAI-driven mental health interventions

  • The desired role of mental health professionals and service users in the responsible development and implementation processes of GAI

  • Regulatory frameworks and guidelines for the implementation of GAI in mental health care

  • GAI in mental health from a disability studies perspective.

We invite you to submit original research papers, both conceptual and empirical in various methodologies, that contribute toward conceptualizing as well as exploring different applications of responsible GAI in mental health.  

The deadline for submissions is January 21, 2024. All accepted manuscripts will be published as part of the JMIR Mental Health special theme issue on “Responsible Design, Integration, and Use of Generative AI in Mental Health.”


To learn more please visit: https://mental.jmir.org/announcements/392

Generative and Multimodal AI in Digital Cardiovascular Medicine

JMIR Cardio Editor-in-Chief: Gunther Eysenbach, MD, MPH, FACMI welcomes submissions to a special theme issue examining "Generative and Multimodal Artificial Intelligence (AI) in Digital Cardiovascular Medicine."

This call for papers aims to explore the potential of generative AI in health care and medicine, specifically in the field of cardiovascular medicine and its subspecialties. This includes, but is not necessarily limited only to, large language models and multimodal AI that can be applied to electrophysiology, congenital heart diseases, transplant cardiology, and precision cardiology.

Submissions may address topics such as automated disease prevention, risk prediction or stratification, cardiovascular diagnosis and monitoring, cardiovascular imaging, personalized care or treatment, care planning and management, drug discovery, and event detection. We especially welcome original paper submissions that robustly examine the comparative effectiveness of generative AI technologies applied to cardiovascular disciplines, or viewpoints that offer a well-argued and evidence-based contrary view of generative AI applications in cardiovascular medicine. To be considered for publication in the special issue, authors must provide evidence of the relevance of their research to the topic of this call for papers.

Submissions are invited on, but not limited to, the following topics:

  • Applying AI, including generative AI and multimodal or large language models, to enhance cardiovascular testing and imaging, assist in diagnosis and treatment, and aid with the development and monitoring of care management plans

  • Applying AI to improve risk stratification and prediction of cardiovascular events, including focusing on sex- and gender-based differences in cardiovascular diseases or maternal and perinatal cardiovascular health 

  • Delivering personalized, accessible cardiac care using AI-powered chatbots

  • Applying AI to improve patient engagement or adherence and health care outcomes in cardiac rehabilitation, post-stroke rehabilitation, and rehabilitation after cardiovascular-related procedures

  • Generative AI, multimodal or large language model technologies for cardiovascular disease knowledge representation and reasoning, including the use of knowledge graphs and semantic web technologies to store and process large amounts of structured and unstructured data

  • Neural machine translation to generate natural language responses from structured cardiovascular pharmacologic, physiologic, medical, and clinical data

  • AI-driven computer vision algorithms applied to all forms of cardiovascular testing and imaging, including but not limited to electrophysiologic testing, echocardiograms, computed tomography, magnetic resonance imaging, nuclear imaging, and other types of novel cardiovascular imaging

  • Detecting and analyzing cardiovascular events in real time using mobile, wearable, or environmental sensor data 

  • Improving clinical workflows and care pathways using generative or AI technologies based on organizational data, medical or insurance claims data, or other large health care datasets

  • Accelerating drug discovery and finding new therapeutics using generative AI

  • Ethic, legal, and social issues and implications for clinical applications of generative AI technologies in cardiovascular care

  • Limitations and challenges of applying generative AI technologies to cardiovascular health and medicine, including structural or systemic bias, health disparities, marginalization of patient populations who are routinely underrepresented, and secondary use of data or algorithms 

  • Need for data infrastructures, data security and regulations, and applicable principles (eg, FAIR guiding principles) to enable generative AI applications in routine cardiovascular care

  • Viewpoints on the future of AI-driven digital cardiovascular health care and medical practices.

Submission deadline: No deadline. This is an open call for submissions. All accepted manuscripts will be published as part of the JMIR Cardio special theme issue on “Generative and Multimodal AI in Digital Cardiovascular Medicine." 

To learn more please visit: https://cardio.jmir.org/announcements/395

AI & ChatGPT in Asian & Pacific Islander (API) Health

Asian/Pacific Island Nursing Journal (APINJ) Editor-in-Chief: Hyochol (Brian) Ahn, PhD, MSN, MS-ECE, MS-CTS, APRN, ANP-BC, FAAN and guest editor Shu-Fen Wung, Ph.D., RN, ACNP-BC, FAAN welcome submissions to a special theme issue examining "Artificial Intelligence (AI) and ChatGPT in Asian and Pacific Islander (API) Health."

Generative AI, like ChatGPT, can have many applications in health care and medicine, particularly in addressing the unique needs and challenges faced by API communities. Potential topics related to the use of generative AI in health care and nursing care specific to API health that we would consider for APINJ include:

  • Developing culturally responsive virtual health assistants: Virtual health assistants powered by generative AI can help to address language barriers and cultural differences in health care communication with API patients. These assistants can be trained to recognize and respond to cultural cues and provide personalized care recommendations based on the patient's cultural background.

  • Predicting health outcomes for API patients: Generative AI can be used to analyze large amounts of health data to identify risk factors and predict health outcomes for API patients. For example, AI models could be trained to predict the likelihood of developing type 2 diabetes or hypertension in API populations based on genetic and lifestyle factors.

  • Improving nursing care for API patients: Generative AI can help nurses to provide better care to API patients by providing real-time translation services and cultural context during patient interactions. AI-powered tools can also be used to monitor patients’ vital signs and alert nurses to potential health concerns.

  • Enhancing precision medicine for API patients: Generative AI can be used to analyze genomic data from API patients to identify specific genetic variations that are more prevalent in certain API populations. This information can be used to develop more targeted treatments and medications that are tailored to the unique needs of API patients.

  • Promoting mental health and wellness in API communities: Generative AI can be used to develop personalized mental health interventions and treatment plans for API patients. AI models can be trained to recognize cultural nuances and provide culturally sensitive care recommendations to help improve mental health outcomes in API communities.

 

These are just a few examples of how generative AI can be applied to health care and nursing care specific to API health. As AI technology continues to evolve, there will likely be many more opportunities to improve health care outcomes for API patients.

APINJ welcomes submissions from researchers and practitioners in medicine, health care, computer science, and related fields. We encourage submissions of original research, literature reviews, and viewpoints. Submissions must be original and unpublished. Preprints are highly encouraged to be submitted for peer-review.

All accepted manuscripts will be published as part of the APINJ special theme issue on AI & ChatGPT in Asian & Pacific Islander (API) Health. 

To learn more please visit: https://apinj.jmir.org/announcements/396 

JMIR Nursing Call for Papers Theme Issue on Artificial Intelligence (AI) in Nursing

JMIR Nursing Editor-in-Chief: Elizabeth Borycki RN, PhD, FIAHIS, FACMI, FCAHS and theme editor Kenrick Dwain Cato, PhD, RN, CPHIMS, FAAN welcome submissions to a special theme issue examining "Artificial Intelligence (AI) in Nursing."

AI is revolutionizing health care. Nurse informaticist developers, researchers, practitioners, clinicians, educators, and innovators have designed, developed, implemented, and used AI to support patients, their families, nurses and health care activities. 

AI has been used to support nurse and patient information needs, decision-making, and nursing interventions. AI can take the form of chatbots, virtual assistants, recommender systems, and tailored patient and nursing educational supports. Studies have also shown that AI can improve nursing care; however, AI can also introduce new types of health care and nursing challenges that will need to be addressed, including the potential for introducing bias, disrupting current nursing practice, developing trust in the technology, and identifying ways to explain what the technology does as well as its limitations (ie, explainable AI). 

In-scope topics on AI in nursing include the following:

  • Innovative applications of AI in nursing

  • Application and use of large language models (eg, ChatGPT) in settings where nurses provide care

  • AI explainability in the context of nursing and patient care

  • Strengths and limitations of using AI technologies in nursing practice

  • AI, nursing, and medical devices that use AI technologies

  • AI, nursing, and prescribing

  • AI, nursing, and robotics

  • AI, nursing, and conversational agents (eg, chatbots)

  • AI, nursing, and trust

  • AI, nursing, and algorithmic bias

  • Implementation of AI in clinical and home care settings to support patient and nursing care

  • Evaluating the effectiveness and efficacy of AI in supporting nursing information seeking, decision-making, and patient care.

  • Sensitivity, effectiveness, and/or efficiency of AI algorithms

  • Comparisons of AI algorithm effectiveness in supporting decision-making among nurses

  • Ethical issues in AI in nursing

  • AI, nursing, and cost-effectiveness analysis.

Out-of-scope topics on AI and large language models in nursing include the following:

  • AI-focused exclusively on physicians

  • AI-focused exclusively on patients.

JMIR Nursing welcomes submissions from researchers and practitioners in nursing, medicine, health care, computer science, and related fields.

The deadline for submissions is March 31, 2024. All accepted manuscripts will be published as part of the JMIR Nursing special theme issue on Artificial Intelligence (AI) in Nursing. 

 

To learn more please visit: https://nursing.jmir.org/announcements/400 

 

JMIR Public Health and Surveillance Call for Papers Theme Issue on Preventive Strategies

JMIR Public Health and Surveillance Editor-in-Chief: Travis Sanchez and guest editors Dr. Roy Rillera Marzo, Dr. Adnan Kisa, Petra Heidler and Shekhar Chauhan welcome submissions to a special theme issue examining "Scaling Up Effective Public Health Interventions for Long-Term Population Health Benefits."

This special issue aligns with the journal’s commitment to advancing knowledge in public health and disease prevention. It provides an opportunity to showcase cutting-edge research in preventive strategies, with an emphasis on scalability and long-term health benefits. 

By focusing on this topic, the journal invites contributions to continue the global discussion on improving health outcomes through evidence-based preventive measures, strengthening its role as a leading platform in the field of public health.

We invite submissions on a variety of topics of interest for this collection, including but not limited to:

  • The impact of digital health interventions on chronic disease prevention

  • Scaling up mental health interventions in schools

  • Effectiveness of community-based lifestyle intervention programs

  • The role of vaccination in preventing infectious diseases

  • Health policy and legislation for tobacco and alcohol control

  • The potential of telemedicine in scaling up health interventions

  • Cost-effectiveness of preventive strategies in health care

  • Nutritional interventions for chronic disease prevention

  • The role of physical activity in preventive health

  • Social marketing strategies for health promotion

  • Preventive strategies in workplace for occupational health

  • Health literacy and its role in disease prevention

  • Environmental interventions for public health

  • Maternal and child health: preventive approaches

  • The impact of urban planning on public health

  • School-based interventions for adolescent health

  • The role of primary care in disease prevention

  • Health insurance policies and preventive care

  • The role of pharmacists in public health and prevention

  • Integrating mental health in primary care: preventive approaches

This special issue, focusing on scalable preventive strategies, offers a timely and significant contribution to the scientific literature. The aim is to stimulate further research and discussion, leading to the development and implementation of effective, scalable preventive strategies.

The deadline for submissions is May 31, 2024. All accepted manuscripts will be published as part of the JMIR Public Health and Surveillance special issue titled “Scaling Up Effective Public Health Interventions for Long-term Population Health Benefits.”


To learn more please visit: https://publichealth.jmir.org/announcements/407

JMIR Infodemiology Call for Papers Theme Issue on Misinformation and Generative AI

JMIR Infodemiology Editor-in-Chief: Tim Ken Mackey, MAS, PhD welcomes submissions to a special theme issue “Exploring the Intersection Between Health Information, Disinformation, and Generative AI Technologies.”

JMIR Infodemiology, currently indexed in PubMed Central, PubMed, Scopus, DOAJ, and CABI, is a peer-reviewed premier journal in the field of infodemiology, health information, data science, and misinformation and is inviting submissions from different disciplines of health communication, public health, informatics, data science, social and computational science, and engineering to explore the potential impact of large language models (LLMs) on health-related topics. 

Specific topics of interest for this special issue include:

  • Infodemics, Misinformation, and Disinformation in the Context of LLMs and Emerging AI Technologies

The proliferation of health-related misinformation and disinformation presents significant challenges to public health and well-being in this era of rapid technological advancement.

  • Advancing Research Methods on LLMs and Emerging AI Technologies

We encourage submissions that advance interdisciplinary methodologies examining the potential impact of LLMs and emerging AI.

  • The Role of Public Health and Medical Professionals in Utilizing Generative AI

Public health and health care professionals play an important role in shaping the health information ecosystem. We are particularly interested in submissions that discuss the involvement of public health and medical practitioners in using LLMs to address misinformation. 

  • Examining the use of LLMs Through the Lens of Health Equity

The rollout of new technological tools such as LLMs has the potential to make health information more accessible, but it may also result in unintended consequences, including exacerbating health disparities.

The deadline for submissions is March 31, 2024. All accepted manuscripts will be published as part of the JMIR Infodemiology special issue titled “Exploring the Intersection Between Health Information, Disinformation, and Generative AI Technologies.”

 

To learn more please visit: https://infodemiology.jmir.org/announcements/412 

Call for Papers: JMIR Neurotechnology

JMIR Neurotechnology, published by JMIR Publications, welcomes submissions from researchers, clinicians, caregivers, and technologists that explore novel diagnostic and treatment tools for neurological disorders, particularly those leveraging the potential of neurotechnology.

The scope of the journal includes but is not limited to:

  • Neuroradiology

  • Advancements in neurosurgery

  • Innovative diagnostic tools and techniques

  • Cutting-edge neurotechnology for therapeutics

  • Data sharing and open science in neurotechnology

  • Code transparency and reproducibility

  • Neurorehabilitation

  • Cognitive enhancement

  • Challenges and ethical considerations

  • Neuroimaging and brain-machine interfaces

  • Neurotechnology and artificial intelligence (AI).

For a limited time only, JMIR Neurotechnology is offering a 50% APF discount on all manuscripts accepted for publication with the use of an active promo code. For more information, please visit https://neuro.jmir.org/about-journal/article-processing-fees.

Please visit our website for more information on submission guidelines and the peer-review process.

JMIR Mental Health Call for Papers Theme Issue on Affective Computing for Mental Well-Being

 

JMIR Mental Health Call for Papers Theme Issue on Affective Computing for Mental Well-Being

JMIR Mental Health, a premier SCIE/PubMed/Scopus-indexed, peer-reviewed journal with a unique focus on digital mental health, is inviting submissions to a new theme issue titled “Affective Computing for Mental Well-Being.”
 

Affective computing holds promising potential in aiding various important processes aimed at enhancing and sustaining mental well-being. Such techniques can be used to augment traditional questionnaire-based diagnosis methods or enhance self-awareness by tracking user states and behavior with multimodal cues associated with verbal and nonverbal communication, physiology, and physical activities. There are great opportunities to develop personalized interventions based on individuals’ affective states and their unique needs and preferences. Extended reality (XR) solutions and mobile health (mHealth) apps can also be enhanced by becoming more responsive and adaptive. Moreover, such technologies have the capacity to advance health equity by enhancing access to mental health services, particularly for individuals encountering barriers like geographical distance, resource scarcity, or the stigma surrounding seeking assistance. However, addressing the intricate landscape of mental well-being demands a multidisciplinary approach, necessitating a comprehensive strategy from diverse perspectives and disciplines. Given the ethical issues emerging from advancements in affective computing and artificial intelligence within mental health, it is vital to address these concerns. 

 

This theme issue invites original contributions, including but not limited to:

 

  • Data collection, archiving, and retrieval in the context of mental health

  • Multimodal recognition of stress, negative affect, sleep, social isolation, or other mental health–related symptoms

  • Automatic behavior and affect coding 

  • Affective modeling

  • Analysis of interactions with patients, including synchrony and alliance

  • Natural language processing (NLP) for analysis of medical texts 

  • Multimodal and multitemporal information fusion in the context of mental health

  • Chatbots, virtual humans, XR, serious games, etc, for mental health support

  • User-centric design for mental health applications

  • Customization, personalization, and adaptation

  • User studies on affective computing technology for mental health

  • Therapeutic relationship and artificial empathy

  • Social and ethical issues regarding the use of affective technologies for mental health support, such as privacy, trust, and bias

 

The deadline for submissions is April 15, 2024. All accepted manuscripts will be published as part of the JMIR Mental Health special issue titled “Affective Computing for Mental Well-Being.”

Please visit our website for more information on submission guidelines and the peer-review process.

Call for Papers: Theme Issue: 25 Years of Digital Health Excellence

The Journal of Medical Internet Research is pleased to announce a call for papers for the theme issue celebrating the 25th anniversary of JMIR Publications. The new theme issue is titled 25 Years of Digital Health Excellence: Reflecting on Transformative Technologies, Interventions, Methods, and Policy Issues.

JMIR Publications, the pioneering publisher of open access research dedicated to digital health, is proud to celebrate its 25th anniversary. Over the past quarter-century, we have witnessed an incredible transformation in the field of digital health. To commemorate this significant milestone, we invite authors to contribute to a theme issue that reflects on the evolution and impact of digital health technologies, interventions, methods, and policy issues over the last 25 years.

Scope and Topics:

We invite original contributions in the form of review articles and viewpoint papers that delve into the various facets of digital health. Papers may explore, but are not limited to, the following topics (sample titles):

  • 25 Years of mHealth Innovations: Pioneering Technologies and Impact on Health Care

  • Transformative Impact of the Internet on the Health of Populations: A 25-Year Retrospective

  • The Evolution of Telemedicine in the 3rd Millennium: From Pioneering Trials to Mainstream Health Care Delivery

  • EHRs and Interoperability: A Quarter-Century of Progress and Challenges

  • Digital Health Interventions: A 25-Year Retrospective on Effective Strategies

  • Data Analytics in Health Care: The Journey From Descriptive to Predictive Analytics

  • Patient Engagement and Empowerment: 25 Years of Transformative Trends

  • Health Informatics 1999-2024: From Data to Wisdom—Milestones and Future Prospects

  • Bibliometric Analysis of Leading eHealth Studies in the Past 25 Years (1999-2024) 

  • Ethical and Legal Implications of Digital Health: Lessons From Two and a Half Decades

  • 25 Years of Health Policy in the Digital Age: A Comprehensive Review

  • Evaluating the Impact of Social Media on Health: A Quarter-Century Analysis

  • 25 Years of Brain-Computer Interface Research

In addition to this open call for papers, we invite the editors-in-chief of the JMIR Publications portfolio, as well as other leading scientists, to submit invited commentaries and reviews. 

Submission Guidelines:

  • Please initially submit an article title proposal with an abstract using this form. The main target journal for this theme issue is the Journal of Medical Internet Research, but we may also decide the article may be better suited for another journal in the JMIR Publications family, so please indicate if you would be interested in submission to another journal as well

  • An editor will respond to you within 1-2 weeks, inviting you to submit or declining the proposed article title and approach   

  • Manuscripts should adhere to the submission guidelines of the Journal of Medical Internet Research

  • All submissions should be labeled “For the 25th Anniversary Theme Issue” in the cover letter

  • Manuscripts must be submitted via the online submission system by March 31, 2024, or a negotiated deadline with the editor

  • We intend to publish the most impactful reviews and viewpoints in the Journal of Medical Internet Research by the end of 2024

The deadline for submissions is March 31, 2024. All accepted manuscripts will be published as part of the Journal of Medical Internet Research theme issue titled “25 Years of Digital Health Excellence.”

To learn more please view the full call for papers here

 

About JMIR Publications:

JMIR Publications is a renowned publisher with a long-standing commitment to advancing digital health research and progressing open science. Our portfolio includes a wide array of prestigious open-access, peer-reviewed journals dedicated to the dissemination of high-quality research in the field of digital health. JMIR Publications is celebrating its 25 year anniversary in 2024 as the leading open access, digital health publisher.

 

To learn more about JMIR Publications, please visit https://www.JMIRPublications.com or connect with us via Twitter, LinkedIn, YouTube, Facebook, and Instagram.

 

Head office: 130 Queens Quay East, Unit 1100, Toronto, ON, M5A 0P6 Canada


Media contact: communications@JMIR.org

Theme Issue Call for Paper: Machine Learning-Driven Genomic Predictive Models

JMIR Bioinformatics and Biotechnology Invites Submissions for Research Papers on Machine Learning-Driven Genomic Predictive Models

 

JMIR Publications is pleased to announce a new theme issue titled “Machine Learning-Based Predictive Models Using Genomic Data” in JMIR Bioinformatics and Biotechnology. The peer-reviewed journal is indexed in PubMed and SCOPUS and focused on research in bioinformatics, computational biology, and biotechnology. This new theme issue aims to explore cutting-edge research at the intersection of machine learning and genomics, fostering advancements in predictive modeling for biological insights.

 

JMIR Bioinformatics and Biotechnology welcomes contributions from global researchers, educators, and practitioners. We encourage submissions exploring diverse aspects of bioinformatics and biotechnology, with a focus on, but not limited to, the following topics: 

  • Development and application of machine learning algorithms for phenotype prediction using genomic data

  • Exploring the integration of multi-omics data for predictive modeling

  • Predicting biological outcomes, disease associations, and functional genomics

  • Describing novel methodologies for handling large-scale genomic data sets

 

Contributors are encouraged to submit their work by May 15, 2024. All submissions will undergo rigorous peer review, and accepted articles will be published as part of the theme issue titled “Machine Learning-Based Predictive Models Using Genomic Data” in the journal JMIR Bioinformatics and Biotechnology.


To learn more please view the full call for papers here.

JMIR Perioperative Medicine Invites Submissions on Perioperative Blood Management

JMIR Publications is pleased to announce a new theme issue titled “Perioperative Blood Management” in JMIR Perioperative Medicine. The premier, peer-reviewed journal is indexed in PubMed and focuses on how technology and data science can improve care delivery and surgical patient outcomes. The new theme issue aims to explore the latest advancements, challenges, and patient-centered innovative approaches in optimizing blood-related practices before, during, and after surgical procedures.

 

JMIR Perioperative Medicine welcomes contributions from global researchers, clinicians, and experts in the field of perioperative medicine. We encourage submissions exploring diverse aspects related to blood management in perioperative care such as:

  • Digital and technological innovations and the potential of artificial intelligence (AI) in perioperative blood management 

  • Preoperative anemia management

  • Perioperative blood transfusion thresholds 

  • Perioperative blood management protocols and programs

  • Advances in blood conservation techniques

  • Strategies for minimizing perioperative blood loss

  • Transfusion-related complications

  • Economic and ethical considerations in perioperative blood management

  • Global and regional inequities in blood availability during the perioperative phase


Contributors are encouraged to submit their work by June 30, 2024. All submissions will undergo rigorous peer review, and accepted articles will be published as part of the “Perioperative Blood Management” theme issue.

 

To learn more please visit: https://periop.jmir.org/announcements/440

 

About JMIR Publications:

JMIR Publications is a renowned publisher with a long-standing commitment to advancing digital health research and progressing open science. Our portfolio includes a wide array of prestigious open access, peer-reviewed journals dedicated to the dissemination of high-quality research in the field of digital health. JMIR Publications is celebrating its 25th anniversary in 2024 as the leading open access, digital health publisher.

To learn more about JMIR Publications, please visit https://www.JMIRPublications.com or connect with us via X, LinkedIn, YouTube, Facebook, and Instagram.

Head office: 130 Queens Quay East, Unit 1100, Toronto, ON, M5A 0P6 Canada

Media contact: communications@JMIR.org

 

JMIR Medical Informatics Invites Submissions on AI Language Models in Health Care

JMIR Publications is pleased to announce a new section titled, “AI Language Models in Health Care” in JMIR Medical Informatics. This leading peer-reviewed journal is indexed in PubMed and has a unique focus on clinical informatics and the digitization of care processes. This section will have a broad focus and encompass topics about the successful implementation of artificial intelligence (AI) language models in diverse health care settings. The topics will include details about the process, use, outcomes, and factors that might influence successful model integration.   

JMIR Medical Informatics invites contributions that delve into the reliability, transparency, and evidence-based effectiveness of AI language models, shedding light on their real-world impact on patient care, medical education, research, and health care systems at large. 

AI language models hold substantial promise within health care settings but also come with challenges associated with their integration. Accordingly, we encourage submissions on topics including but not limited to the following:

  • Comparative analyses of policies and regulations across different countries

  • Conducive environments for global AI language model implementations

  • Strategies to ensure unbiased, reliable, transparent, and ethical use of AI language models in health care

  • Comprehensive methodologies for AI language model implementations in health care settings 

  • Case studies on the real-world impact and effectiveness of AI language models across various health care settings

  • Outcomes of AI language model implementation, including acceptability, adoption, feasibility, cost-effectiveness, sustainability, safety, and usability within health care settings 

All submissions will be rigorously peer reviewed, and accepted articles will be published as part of theAI Language Models in Health Caresection. 

To learn more please visit our website here

About JMIR Publications:

JMIR Publications is a renowned publisher with a long-standing commitment to advancing digital health research and progressing open science. Our portfolio includes a wide array of prestigious open access, peer-reviewed journals dedicated to the dissemination of high-quality research in the field of digital health. JMIR Publications is celebrating its 25th anniversary in 2024 as the leading open access digital health publisher.

 

To learn more about JMIR Publications, please visit https://www.JMIRPublications.com or connect with us via X, LinkedIn, YouTube, Facebook, and Instagram.

Head office: 130 Queens Quay East, Unit 1100, Toronto, ON, M5A 0P6 Canada

Media contact: communications@JMIR.org

 

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