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      The rise of artificial intelligence in healthcare applications

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          Abstract

          Big data and machine learning are having an impact on most aspects of modern life, from entertainment, commerce, and healthcare. Netflix knows which films and series people prefer to watch, Amazon knows which items people like to buy when and where, and Google knows which symptoms and conditions people are searching for. All this data can be used for very detailed personal profiling, which may be of great value for behavioral understanding and targeting but also has potential for predicting healthcare trends. There is great optimism that the application of artificial intelligence (AI) can provide substantial improvements in all areas of healthcare from diagnostics to treatment. It is generally believed that AI tools will facilitate and enhance human work and not replace the work of physicians and other healthcare staff as such. AI is ready to support healthcare personnel with a variety of tasks from administrative workflow to clinical documentation and patient outreach as well as specialized support such as in image analysis, medical device automation, and patient monitoring. In this chapter, some of the major applications of AI in healthcare will be discussed covering both the applications that are directly associated with healthcare and those in the healthcare value chain such as drug development and ambient assisted living.

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          Most cited references37

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          Is Open Access

          Crystal structure of SARS-CoV-2 main protease provides a basis for design of improved α-ketoamide inhibitors

          The COVID-19 pandemic caused by SARS-CoV-2 is a global health emergency. An attractive drug target among coronaviruses is the main protease (Mpro, 3CLpro), due to its essential role in processing the polyproteins that are translated from the viral RNA. We report the X-ray structures of the unliganded SARS-CoV-2 Mpro and its complex with an α-ketoamide inhibitor. This was derived from a previously designed inhibitor but with the P3-P2 amide bond incorporated into a pyridone ring to enhance the half-life of the compound in plasma. Based on the structure, we developed the lead compound into a potent inhibitor of the SARS-CoV-2 Mpro. The pharmacokinetic characterization of the optimized inhibitor reveals a pronounced lung tropism and suitability for administration by the inhalative route.
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            Advances of flexible pressure sensors toward artificial intelligence and health care applications

            Incorporating flexible pressure sensors with organic electronic devices allows their promising applications in artificial intelligence and the health care industry.
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              DeepTox: Toxicity Prediction using Deep Learning

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                Author and article information

                Journal
                Artificial Intelligence in Healthcare
                Artificial Intelligence in Healthcare
                26 June 2020
                2020
                26 June 2020
                : 25-60
                Affiliations
                [1 ]Sonohaler, Copenhagen, Denmark
                [2 ]ChemoMetec, Lillerød, Denmark
                CEO and Co-Founder of Sonohaler, Copenhagen, Denmark
                Commercial Field Application Scientist at ChemoMetec, Lillerød, Denmark
                Article
                B978-0-12-818438-7.00002-2
                10.1016/B978-0-12-818438-7.00002-2
                7325854
                e374946c-971c-4efd-9c00-74d147220e50
                Copyright © 2020 Elsevier Inc. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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                artificial intelligence,healthcare applications,machine learning,precision medicine,ambient assisted living,natural language programming,machine vision

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