Radiologists’ perceived value and readiness for artificial intelligence in value-based radiology: a multicountry survey

Japanese Journal of Radiology 2026

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Authors: Bayarbaatar Bold, Bunta Tokuda, Mohammed Shakeebuddin Kashif, Farhana Fadzli, Nicole Kessa Wee, Urooj Kanwal, Trang Ngoc Nguyen, Naw Paw Say Wah
DOI: 10.1007/s11604-026-01971-1
Cited by: 1
References: 20

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Radiology practices and education Ethics and Social Impacts of AI

Publication details

Journal / source
Japanese Journal of Radiology
Publisher
Springer Science and Business Media LLC
Volume
44
Issue
7
Pages
1299–1307
Publication date
27 March 2026
Language
EN