Artificial Intelligence–Based Consumer Health Informatics Application: Scoping Review

There is no doubt that the recent surge in artificial intelligence (AI) research will change the trajectory of next-generation health care, making it more approachable and accessible to patients. Therefore, it is critical to research patient perceptions and outcomes because this trend will allow pat...

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Veröffentlicht in:	Journal of medical Internet research Jg. 25; H. 1; S. e47260
Hauptverfasser:	Asan, Onur, Choi, Euiji, Wang, Xiaomei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Canada Gunther Eysenbach MD MPH, Associate Professor 30.08.2023 JMIR Publications
Schlagworte:	Artificial Intelligence Biomedical Technology Chatbots Clinical decision making Clinical outcomes Computers Consumer Health Informatics Consumers Decision makers Emotions Global health Health informatics Health services Health status Humans Knowledge Librarians Literature reviews Machine learning Medical decision making Medical personnel Medical technology Natural language processing Patient-centered care Patients Perceptions Personal health Precision medicine Review Robotics Robots Subject heading schemes Telecommunications Telemedicine Vision systems Web portals United States > US digital health mobile health mobile phone mHealth patient outcomes consumer informatics machine learning personalized health care artificial intelligence
ISSN:	1438-8871, 1439-4456, 1438-8871
Online-Zugang:	Volltext
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