基于人工智能的胸部 X 射线肺功能估算所面临的挑战

IF 23.8 1区 医学 Q1 MEDICAL INFORMATICS Lancet Digital Health Pub Date : 2024-11-27 DOI:10.1016/S2589-7500(24)00247-4
Xinyu Li , Jiajie Lv , Jiajia Xue , Ruhong Zhang , Datao Li
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Challenges of AI-based pulmonary function estimation from chest x-rays
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来源期刊
CiteScore
41.20
自引率
1.60%
发文量
232
审稿时长
13 weeks
期刊介绍: The Lancet Digital Health publishes important, innovative, and practice-changing research on any topic connected with digital technology in clinical medicine, public health, and global health. The journal’s open access content crosses subject boundaries, building bridges between health professionals and researchers.By bringing together the most important advances in this multidisciplinary field,The Lancet Digital Health is the most prominent publishing venue in digital health. We publish a range of content types including Articles,Review, Comment, and Correspondence, contributing to promoting digital technologies in health practice worldwide.
期刊最新文献
Challenges of AI-based pulmonary function estimation from chest x-rays Challenges of AI-based pulmonary function estimation from chest x-rays – Authors' reply Correction to Lancet Digit Health 2024; 6: e791–802 The urgent need to accelerate synthetic data privacy frameworks for medical research. The new digital era in decompensated cirrhosis.
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