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...

Full description

Saved in:

Bibliographic Details
Published in:	BMJ quality & safety Vol. 34; no. 7; p. 421
Main Authors:	Jackson, Gretchen Purcell, Shortliffe, Edward H
Format:	Journal Article
Language:	English
Published:	England BMJ Publishing Group LTD 01.07.2025
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!