Artificial intelligence in preventive and managed healthcare
Biopharmaceutics and Pharmacokinetics Considerations, Page: 675-697
2021
- 5Citations
- 45Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
Increasing application on account of the rapid progress made by artificial intelligence (AI) in healthcare has brought upon a progressive paradigm shift. By combining relevant AI architectures with digitized data acquisition and sophisticated data validation techniques, AI-based technologies are expanding to unchartered areas. This chapter focuses on understanding recent novel innovations and practical clinical applications of AI in aiding the conventional healthcare industry. Breakthrough AI-based platforms that aid in critical sectors of the healthcare industry like disease diagnosis, robot-assisted surgery, patient rehabilitation, and use of smartphones/smart wearables for health monitoring and AI’s role in controlling and tackling COVID-19 like pandemics are summarized.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/B9780128144251000036; http://dx.doi.org/10.1016/b978-0-12-814425-1.00003-6; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85129059098&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/B9780128144251000036; https://dx.doi.org/10.1016/b978-0-12-814425-1.00003-6
Elsevier BV
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