Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review

Adverse drug events (ADEs) represent one of the most prevalent types of health-care-related harm, and there is substantial room for improvement in the way that they are currently predicted and detected. We conducted a scoping review to identify key use cases in which artificial intelligence (AI) cou...

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Vydané v:	The Lancet. Digital health Ročník 4; číslo 2; s. e137 - e148
Hlavní autori:	Syrowatka, Ania, Song, Wenyu, Amato, Mary G, Foer, Dinah, Edrees, Heba, Co, Zoe, Kuznetsova, Masha, Dulgarian, Sevan, Seger, Diane L, Simona, Aurélien, Bain, Paul A, Purcell Jackson, Gretchen, Rhee, Kyu, Bates, David W
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Elsevier Ltd 01.02.2022 Elsevier
Predmet:	Artificial Intelligence Drug-Related Side Effects and Adverse Reactions - prevention & control Humans Informatics Internal Medicine Machine Learning
ISSN:	2589-7500, 2589-7500
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