Burnout crisis in Chinese radiology: will artificial intelligence help?
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| Title: | Burnout crisis in Chinese radiology: will artificial intelligence help? |
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| Authors: | Fang X; National Science Library (Chengdu), Chinese Academy of Sciences, Chengdu, Sichuan, China., Ma C; School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.; ShuKun (Beijing) Network Technology Co., Ltd., Beijing, China., Liu X; Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China., Deng X; ShuKun (Beijing) Network Technology Co., Ltd., Beijing, China., Liao J; ShuKun (Beijing) Network Technology Co., Ltd., Beijing, China., Zhang T; School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China. tyzhang@suda.edu.cn.; Research Center for Psychology and Behavioral Sciences, Soochow University, Suzhou, China. tyzhang@suda.edu.cn. |
| Source: | European radiology [Eur Radiol] 2025 Mar; Vol. 35 (3), pp. 1215-1224. Date of Electronic Publication: 2024 Nov 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-1084 |
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| DOI: | 10.1007/s00330-024-11206-4 |
