COVID-19: emerging trends, healthcare practice, artificial intelligence-assisted decision support, and implications for service innovation.

Autor: Wang HHX; Editors, Hong Kong Medical Journal.; School of Public Health, Sun Yat-Sen University, Guangzhou, China.; Young Cadre Branch, Guangdong Primary Healthcare Association, Guangzhou, China., Li YT; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China., Huang J; Editors, Hong Kong Medical Journal.; Centre for Health Education and Health Promotion, The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China., Zhang H; Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China., Huang W; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China., Wong MCS; Centre for Health Education and Health Promotion, The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.; Editor-in-Chief, Hong Kong Medical Journal.; School of Public Health, Fudan University, Shanghai, China.; The Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.; School of Public Health, Peking University, Beijing, China.
Jazyk: angličtina
Zdroj: Hong Kong medical journal = Xianggang yi xue za zhi [Hong Kong Med J] 2024 Feb; Vol. 30 (1), pp. 7-9.
DOI: 10.12809/hkmj245155
Abstrakt: Competing Interests: The authors have declared no conflicts of interest.
Databáze: MEDLINE