Your browser doesn't support javascript.
loading
[Challenges in application of artificial intelligence in healthcare field and response strategies].
Ye, Z C; Xue, P; Qiao, Y L; Jiang, Y.
Affiliation
  • Ye ZC; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
  • Xue P; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
  • Qiao YL; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
  • Jiang Y; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 45(7): 1030-1038, 2024 Jul 10.
Article in Zh | MEDLINE | ID: mdl-39004977
ABSTRACT
The rapid development of artificial intelligence in the field of healthcare has greatly improved diagnosis accuracy, disease prediction, personalized treatment and healthcare resource management. However, with the widespread application of medical artificial intelligence, challenges has emerged in the aspects of medical data, model development and evaluation, and societal considerations. Therefore, this study aims to explore challenges in the application of artificial intelligence in healthcare and suggest a series of feasible solutions to improve medical professional and researchers' understanding of medical artificial intelligence and enhance the quality of healthcare in clinical practice.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Delivery of Health Care Limits: Humans Language: Zh Journal: Zhonghua Liu Xing Bing Xue Za Zhi / Zhonghua liuxingbingxue zazhi Year: 2024 Document type: Article Affiliation country: China Country of publication: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Delivery of Health Care Limits: Humans Language: Zh Journal: Zhonghua Liu Xing Bing Xue Za Zhi / Zhonghua liuxingbingxue zazhi Year: 2024 Document type: Article Affiliation country: China Country of publication: China