Foundation models for generalist medical artificial intelligence

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 for medical AI, which we refer to as generalist medical AI (GMAI). GMAI models will be capable of carrying out a div...

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Veröffentlicht in:	Nature (London) Jg. 616; H. 7956; S. 259 - 265
Hauptverfasser:	Moor, Michael, Banerjee, Oishi, Abad, Zahra Shakeri Hossein, Krumholz, Harlan M., Leskovec, Jure, Topol, Eric J., Rajpurkar, Pranav
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 13.04.2023 Nature Publishing Group
Schlagworte:	631/114 692/700 Artificial Intelligence Datasets Datasets as Topic Diagnostic Imaging Electronic Health Records Electronic medical records Genomics Humanities and Social Sciences Humans Knowledge Laboratories Marginalized groups Medicine Modelling multidisciplinary Perspective Pneumonia Queries Science Science (multidisciplinary) Unsupervised Machine Learning
ISSN:	0028-0836, 1476-4687, 1476-4687
Online-Zugang:	Volltext
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