Large language models:game-changers in the healthcare industry  

大语言模型:医疗行业的变革者

作　　者：Bin Dong Li Zhang Jiajia Yuan Yang Chen Quanzheng Li Lin Shen 董彬;张立;袁家佳;陈杨;李全政;沈琳

机构地区：[1]Beijing International Center for Mathematical Research,Peking University,Beijing 100871,China [2]Center for Machine Learning Research,Peking University,Beijing 100871,China [3]Peking University Changsha Institute for Computing and Digital Economy,Changsha 410205,China [4]Center for Data Science,Peking University,Beijing 100871,China [5]Department of Gastrointestinal Oncology,Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing),Peking University Cancer Hospital and Institute,Beijing 100142,China [6]Massachusetts General Hospital,Boston 02114-2696,USA [7]Harvard Medical School,Boston 02115,USA

出　　处：《Science Bulletin》2025年第3期283-286,共4页科学通报(英文版)

基　　金：supported by the National Natural Science Foundation of China(U22A20327,12090022,11831002,81801778,and 82203881);Beijing Natural Science Foundation(7222021);Beijing Hospitals Authority Youth Programme(QML20231115);Clinical Medicine Plus X-Young Scholars Project of Peking University(PKU2023LCXQ041).

摘　　要：The healthcare industry faces core challenges,including increasingly complex operational processes and entities,the rapid development of medical knowledge,and the rising demand for interdisciplinary expertise.The complexity of medical processes is evident in every aspect,from patient appointments,diagnoses,and treatments to follow-up tasks,all of which involve intricate data processing and decision-making procedures.

关 键 词：INDUSTRY EXPERTISE evident 

分 类 号：F42[经济管理—产业经济]