Towards human-AI collaboration in radiology: a multidimensional evaluation of the acceptability of AI for chest radiograph analysis in supporting pulmonary tuberculosis diagnosis

Objective Artificial intelligence (AI) technology promises to be a powerful tool in addressing the global health challenges posed by tuberculosis (TB). However, evidence for its real-world impact is lacking, which may hinder safe, responsible adoption. This case study addresses this gap by assessing...

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Bibliographic Details
Published in:	JAMIA open Vol. 8; no. 1; p. ooae151
Main Authors:	Hua, David, Petrina, Neysa, Sacks, Alan J, Young, Noel, Cho, Jin-Gun, Smith, Ross, Poon, Simon K
Format:	Journal Article
Language:	English
Published:	United States Oxford University Press 01.02.2025
Subjects:	Accuracy Artificial intelligence Case studies Collaboration Human performance Medical imaging equipment Public health Pulmonary tuberculosis Research and Applications Tuberculosis User experience Australia pulmonary tuberculosis evaluation translational impact human factors artificial intelligence technical performance
ISSN:	2574-2531, 2574-2531
Online Access:	Get full text
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