| 叶子晨,薛鹏,乔友林,江宇.人工智能在医疗卫生领域中面临的挑战及应对措施[J].Chinese journal of Epidemiology,2024,45(7):1030-1038 |
| 人工智能在医疗卫生领域中面临的挑战及应对措施 |
| Challenges in application of artificial intelligence in healthcare field and response strategies |
| Received:January 12, 2024 |
| DOI：10.3760/cma.j.cn112338-20240112-00014 |
| KeyWord: 人工智能 医疗卫生领域 挑战 措施 |
| English Key Word: Artificial intelligence Healthcare field Challenge Strategy |
| FundProject: |
| Author Name | Affiliation | E-mail | | Ye Zichen | School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China | | | Xue Peng | School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China | | | Qiao Youlin | School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China | | | Jiang Yu | 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 | jiangyu@pumc.edu.cn |
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| Abstract: |
| 人工智能在医疗卫生领域的快速发展展现了其在提升诊断准确性、疾病预测、个性化治疗以及医疗资源管理等方面的巨大潜力。然而，随着医学人工智能的广泛应用，医学数据、模型开发和评估、社会层面等诸多方面的挑战也相继出现。因此，本研究旨在深入探讨人工智能在医疗卫生领域中所面临的挑战，并提出一系列切实可行的解决方案。希望通过此研究，能够帮助医疗工作者和科研人员深入了解医学人工智能，从而使他们在医疗卫生实践中更好地提高医疗质量。 |
| English 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 |
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