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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Veröffentlicht in:JAMIA open Jg. 8; H. 1; S. ooae151
Hauptverfasser: Hua, David, Petrina, Neysa, Sacks, Alan J, Young, Noel, Cho, Jin-Gun, Smith, Ross, Poon, Simon K
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Oxford University Press 01.02.2025
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ISSN:2574-2531, 2574-2531
Online-Zugang:Volltext
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