Understanding the evidence for artificial intelligence in healthcare

The entire evaluation sequence—technical performance, usability and workflow, and impact—should also be repeated whenever conditions change, especially if the models may learn and change their performance over time.7 Model performance can vary for a wide variety of reasons such as changes in the und...

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Vydané v:	BMJ quality & safety Ročník 34; číslo 7; s. 421
Hlavní autori:	Jackson, Gretchen Purcell, Shortliffe, Edward H
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England BMJ Publishing Group LTD 01.07.2025
Predmet:	Algorithms Artificial intelligence Clinical outcomes Health care Health care delivery Infectious diseases Informatics Medical errors Ophthalmology R&D Research & development Usability Performance measures Decision support, computerized Information technology Evaluation methodology Patient Safety
ISSN:	2044-5415, 2044-5423, 2044-5423
On-line prístup:	Získať plný text
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