DA Dorr, L Adams, P Embí - JAMA, 2023 - jamanetwork.com
We are now in an exceptional time: algorithms driven by artificial intelligence (AI) and related approaches are seemingly ubiquitous, are heavily promoted, and hold great …
Importance Interest in artificial intelligence (AI) has reached an all-time high, and health care leaders across the ecosystem are faced with questions about where, when, and how to …
F Wang, R Kaushal, D Khullar - Annals of internal medicine, 2020 - acpjournals.org
Health care applications of artificial intelligence (AI) have recently emerged. Artificial intelligence approaches, such as deep learning, rely on vast amounts of data and complex …
CA Kulikowski - Yearbook of medical informatics, 2019 - thieme-connect.com
Background: The rise of biomedical expert heuristic knowledge-based approaches for computational modeling and problem solving, for scientific inquiry and medical decision …
AL Fogel, JC Kvedar - NPJ digital medicine, 2018 - nature.com
Artificial intelligence (AI) has recently surpassed human performance in several domains, and there is great hope that in healthcare, AI may allow for better prevention, detection …
Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the experiences of both clinicians and patients. We discuss key findings from a 2-year weekly …
RC Li, SM Asch, NH Shah - NPJ digital medicine, 2020 - nature.com
Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly driven by the emergence of increasingly accurate machine learning models. However, the …
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …
Artificial Intelligence (AI) describes computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making …