Yan Shu, Lu Yan, Xu Dongzi, Ouyang Zhaolian
Department of Strategic Intelligence Research on Medical Device and Drug, Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Jun 25;42(3):520-527. doi: 10.7507/1001-5515.202407052.
In recent years, the research on artificial intelligence medical devices has risen markedly along with the expanding application scenarios, exhibiting prominent interdisciplinary characteristics. From 2000 to 2024, the variety of research in artificial intelligence medical devices has significantly increased, while the balance of disciplines has slightly declined, and Simpson's diversity index has continuously increased. Medicine and biology are the main research themes and supportive disciplines in this field. Knowledge from computer science, engineering technology, and mathematics is widely involved and shows an upward trend, while content from the humanities and social sciences is less involved in the research. Compared to the United States and the United Kingdom, China has relatively less biological and chemical knowledge content in the research of this field, but more content related to computer science, engineering technology and material science is involved. This study analyzes the current state and trends of interdisciplinary on artificial intelligence medical devices from the perspective of macro-categories of disciplines, aiming to provide references for research planning, talent training and interdisciplinary cooperation in the field.
近年来，随着人工智能医疗设备应用场景的不断拓展，其研究显著升温，呈现出突出的跨学科特征。2000年至2024年期间，人工智能医疗设备的研究种类显著增加，而学科均衡性略有下降，辛普森多样性指数持续上升。医学和生物学是该领域的主要研究主题和支撑学科。计算机科学、工程技术和数学知识广泛涉及且呈上升趋势，而人文社会科学内容在研究中涉及较少。与美国和英国相比，中国在该领域研究中生物和化学知识内容相对较少，但涉及更多与计算机科学、工程技术和材料科学相关的内容。本研究从学科大类视角分析人工智能医疗设备跨学科的现状与趋势，旨在为该领域的研究规划、人才培养及跨学科合作提供参考。
