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      Using Beatboxing for Creative Rehabilitation After Laryngectomy: Experiences From a Public Engagement Project

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          Abstract

          Laryngectomy is the surgical removal of the larynx (voice box), usually performed in patients with advanced stages of throat cancer. The psychosocial impact of losing the voice is significant, affecting a person’s professional and social life in a devastating way, and a proportion of this patient group subsequently must overcome depression (22–30%) and social isolation (40%). The profound changes to anatomical structures involved in voicing and articulation, as a result of surgery, radiotherapy or chemotherapy (separately or in combination with one another), introduce challenges faced in speech rehabilitation and voice production that complicate social reintegration and quality of life. After laryngectomy, breathing, voicing, articulation and tongue movement are major components in restoring communication. Regular exercise of the chest, neck and oropharyngeal muscles, in particular, is important in controlling these components and keeping the involved structures supple. It is, however, a difficult task for a speech therapist to keep the patient engaged and motivated to practice these exercises. We have adopted a multidisciplinary approach to explore the use of basic beatboxing techniques to create a wide variety of exercises that are seen as fun and interactive and that maximize the use of the structures important in alaryngeal phonation. We herein report on our empirical work in developing patients’ skills, particularly relating to voiced and unvoiced consonants to improve intelligibility. In collaboration with a professional beatboxing performer, we produced instructional online video materials to support patients working on their own and/or with support from speech therapists. Although the present paper is focused predominantly on introducing the structure of the conducted workshops, the rationale for their design and the final public engagement performance, we also include feedback from participants to commence the critical discourse about whether this type of activity could lead to systematic underlying research and robustly assessed interventions in the future. Based on this exploratory work, we conclude that the innovative approach that we employed was found to be engaging, useful, informative and motivating. We conclude by offering our views regarding the limitations of our work and the implications for future empirical research.

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          Most cited references36

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          Update from the 4th Edition of the World Health Organization Classification of Head and Neck Tumours: Odontogenic and Maxillofacial Bone Tumors.

          The 4th edition of the World Health Organization's Classification of Head and Neck Tumours was published in January of 2017. This article provides a summary of the changes to Chapter 4 Tumours of the oral cavity and mobile tongue and Chapter 8 Odontogenic and maxillofacial bone tumours. Odontogenic cysts which were eliminated from the 3rd 2005 edition were included in the 4th edition as well as other unique allied conditons of the jaws. Many new tumors published since 2005 have been included in the 2017 classification.
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            Global Epidemiology of Head and Neck Cancers: A Continuing Challenge

            Background: Head and neck cancers (HNCs) continue to remain a significant public health burden worldwide, causing significant mortality and morbidity despite significant clinical advances enabling their early diagnosis and treatment. Methods: We used data from the GLOBOCAN 2012, Cancer Incidence in Five Continents, World Health Organization Mortality Database and Surveillance, Epidemiology, and End Results programmes to describe the current epidemiology of HNCs. Results: Estimated age-standardised incidence/mortality rates for cancers of the lip and oral cavity among males and females (7.0/2.3 and 2.6/0.6 per 100,000 per annum) in more developed regions are higher compared to those in less developed regions (5.0/2.8 and 2.5/1.4 per 100,000 per annum). Similarly, the estimated rates for cancers of the tonsils and pharynx among males (7.5/2.5 per 100,000 per annum) and females (2.7/0.5 per 100,000 per annum) are reported to be the highest in Western Europe, whereas these rates for cancer of the larynx among males (7.9/4.0 per 100,000 per annum) and females (0.9/0.5 per 100,000 per annum) are reported to be the highest in the Caribbean. Cancer of the nasopharynx represents a significant HNC burden in the Asia-Pacific region and Northern Africa. Conclusion: The current and future estimated burden of HNCs is shifting to less developed regions which may be ill equipped to deal with this increasing burden. This needs urgent attention of policy makers through effective cancer control policy implementation with population-based interventions.
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              The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries

              Abstract Background: Artificial intelligence (AI) is a rapidly developing computer technology that has begun to be widely used in the medical field to improve the professional level and efficiency of clinical work, in addition to avoiding medical errors. In developing countries, the inequality between urban and rural health services is a serious problem, of which the shortage of qualified healthcare providers is the major cause of the unavailability and low quality of healthcare in rural areas. Some studies have shown that the application of computer-assisted or AI medical techniques could improve healthcare outcomes in rural areas of developing countries. Therefore, the development of suitable medical AI technology for rural areas is worth discussing and probing. Methods: This article reviews and discusses the literature concerning the prospects of medical AI technology, the inequity of healthcare, and the application of computer-assisted or AI medical techniques in rural areas of developing countries. Results: Medical AI technology not only could improve physicians' efficiency and quality of medical services, but other health workers could also be trained to use this technique to compensate for the lack of physicians, thereby improving the availability of healthcare access and medical service quality. This article proposes a multilevel medical AI service network, including a frontline medical AI system (basic level), regional medical AI support centers (middle levels), and a national medical AI development center (top level). Conclusion: The promotion of medical AI technology in rural areas of developing countries might be one means of alleviating the inequality between urban and rural health services. The establishment of a multilevel medical AI service network system may be a solution.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                14 January 2020
                2019
                : 10
                : 2854
                Affiliations
                [1] 1Shout at Cancer , London, United Kingdom
                [2] 2School of Arts and Creative Industries, London South Bank University , London, United Kingdom
                [3] 3School of Science and Engineering, University of Dundee , Dundee, United Kingdom
                [4] 4First Faculty of Medicine, Institute of Hygiene and Epidemiology, Charles University , Prague, Czechia
                [5] 5Royal Preston Hospital , Preston, United Kingdom
                [6] 6Hôpital Saint-Pierre , Brussels, Belgium
                [7] 7UCL Institute of Education, University College London , London, United Kingdom
                Author notes

                Edited by: Rosie Perkins, Royal College of Music, United Kingdom

                Reviewed by: Kai Johannes Lorenz, Bundeswehrkrankenhaus, Germany; Rob Van Son, The Netherlands Cancer Institute (NKI), Netherlands

                *Correspondence: Evangelos Himonides, e.himonides@ 123456ucl.ac.uk

                This article was submitted to Performance Science, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2019.02854
                7001741
                87cc6ad5-9138-431a-b90a-a1db7e1d754d
                Copyright © 2020 Moors, Silva, Maraschin, Young, Quinn, de Carpentier, Allouche and Himonides.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 01 June 2019
                : 02 December 2019
                Page count
                Figures: 5, Tables: 5, Equations: 0, References: 38, Pages: 13, Words: 0
                Categories
                Psychology
                Methods

                Clinical Psychology & Psychiatry
                head and neck cancer,throat cancer,voice rehabilitation,laryngectomy,beatboxing

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