参考文献/References:
[1] Rajpurkar P,Chen E,Banerjee O,et al.AI in health and medicine[J].Nat Med,2022,28:31-38.
[2]Thirunavukarasu AJ,Ting D S J,Elangovan K,et al.Large language models in medicine[J].Nat Med,2023,29:1930-1940.
[3]Lee P,Bubeck S,Petro J.Benefits,limits,and risks of GPT-4 as an AI chatbot for medicine[J].N Engl J Med,2023,388:1233-1239.
[4]Thirunavukarasu A J,Mahmood S,Malem A,et al.Large language models approach expert-level clinical knowledge and reasoning in ophthalmology:a head-to-head cross-sectional study[J].PLOS Digital Health,2024,3:e0000341.
[5]Vaswani A,Shazeer N,Parmar N,et al.Attention is all you need[EB/OL].https:∥arxiv.org/abs/1706.03762,2023-08-02.
[6]Sonoda Y,Kurokawa R,Hagiwara A,et al.Structured clinical reasoning prompt enhances LLM's diagnostic capabilities in diagnosis please quiz cases[J].Jpn J Radiol,2025,43:586-592.
[7]Vishwanath K,Stryker J,Alyakin A,et al.MedMobile:A mobile-sized language model with expert-level clinical capabilities[EB/OL].https:∥arxiv.org/abs/2410.09019,2025-11-12.
[8]中共中央,国务院.《“健康中国2030”规划纲要》[EB/OL].https:∥www.gov.cn/gongbao/content/2016/content_5133024.htm,2016-10-25.
The State Council of the People's Republic of China.Outline of the “Healthy China 2030” Plan[EB/OL].https:∥www.gov.cn/gongbao/content/2016/content_5133024.htm,2016-10-25.
[9]Roberts H,Cowls J,Morley J,et al.The Chinese approach to artificial intelligence:an analysis of policy,ethics,and regulation[J].Adv Med Educ Pract,2025,16:1421-1438.
[10]Lu K,Sun S,Liu W,et al.Mapping Key Nodes and Global Trends in AI and Large Language Models for Medical Education:A Bibliometric Study[J].Adv Med Educ Pract,2025,16:1421-1438.
[11]Paranjape K,Schinkel M,Nannan Panday R,et al.Introducing artificial intelligence training in medical education[J].JMIR Med Educ,2019,5:e16048.
[12]Han ER,Yeo S,Kim MJ,et al.Medical education trends for future physicians in the era of advanced technology and artificial intelligence:an integrative review[J].BMC Med Educ,2019,19:460.
[13]Sriram A,Ramachandran K,Krishnamoorthy S.Artificial intelligence in medical education:transforming learning and practice[J].Cureus,2025.
[14]Khan N,Khan Z,Koubaa A,et al.Global insights and the impact of generative AI-ChatGPT on multidisciplinary:a systematic review and bibliometric analysis[J].Connect Sci,2024,36:2353630.
[15]Wang R,Milani S,Chiu J C,et al.PATIENT-Ψ:Using Large Language Models to Simulate Patients for Training Mental Health Professionals[A].Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing[C].Miami,Florida,USA,2024:12772-12797.
[16]Borg A,Parodis I,Skantze G.Creating Virtual Patients using Robots and Large Language Models:A Preliminary Study with Medical Students[A].Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction[C].Boulder CO USA:ACM,2024:273-277.
[17]Hasan M,Ozel C,Potter S,et al.SAPIEN:Affective Virtual Agents Powered by Large Language Models*[A].2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos(ACIIW)[C].Cambridge,MA,USA:IEEE,2023:1-3.
[18]Nagi F,Salih R,Alzubaidi M,et al.Applications of Artificial Intelligence(AI)in Medical Education:A Scoping Review[A].Stud Health Technol Inform[M].IOS Press,2023.
[19]Dutta S,Ranjan S,Mishra S,et al.Enhancing Educational Adaptability:A Review and Analysis of AI-Driven Adaptive Learning Platforms[A].2024 4th International Conference on Innovative Practices in Technology and Management(ICIPTM)[C].Noida,India:IEEE,2024:1-5.
[20]Tao G,Pan Y.AI-driven personalized learning in medical education:enhancing cognitive skills and addressing language proficiency challenges[J].Forum Linguist Stud,2025,7:366-384.
[21]Mascagni P,Alapatt D,Urade T,et al.A computer vision platform to automatically locate critical events in surgical videos:documenting safety in laparoscopic cholecystectomy[J].Ann Surg,2021,274:e93-e95.
[22]Khanna A,Antolin A,Bar O,et al.Automated identification of key steps in robotic-assisted radical prostatectomy using artificial intelligence[J].J Urol,2024,211:575-584.
[23]Kawka M,Gall T Mh,Fang C,et al.Intraoperative video analysis and machine learning models will change the future of surgical training[J].Intell Surg,2022,1:13-15.
[24]Li H.AI foundations in China's medical physiology education:pedagogical practices and systemic challenges[J].Adv Med Educ Pract,2025,16:1439-1453.
[25]刘成程,寻 萌,韩 蕾,等.人工智能推动医学教育改革的现状与展望[J].基础医学教育,2024,26:890-894.
Liu CC,Xun M,Han L,Qin YN.Current status and prospects of artificial intelligence promoting medical education reform[J].Basic Med Educ,2024,26:890-894.
[26]张 澍,孟列素,刘进军,等.DeepSeek进课堂——AI智能体在器官系统整合课程教学中的应用探索与思考[J].中国医学教育技术,2025,39:432-436.
Zhang S,Meng LS,Liu JJ,Wang Y,Yan H.DeepSeek into the classroom:exploration and reflection on the application of AI agents in the teaching of organ system integration courses[J].China Med Educ Technol,2025,39:432-436.
[27]Wang H,Wu W,Dou Z,et al.Performance and exploration of ChatGPT in medical examination,records and education in Chinese:Pave the way for medical AI[J].Int J Med Inf,2023,177:105173.
[28]Hashmi O-U,Chan N,De Vries C F,et al.Artificial intelligence in radiology:trainees want more[J].Clin Radiol,2023,78:e336-e341.
[29]Chen Y,Wu Z,Wang P,et al.Radiology residents' perceptions of artificial intelligence:nationwide cross-sectional survey study[J].J Med Internet Res,2023,25:e48249
[30]Li R,Liu G,Zhang M,et al.Integration of artificial intelligence in radiology education:a requirements survey and recommendations from faculty radiologists,residents,and medical students[J].BMC Med Educ,2025,25:380.
[31]Keshavarz P,Mohammadigoldar Z,Bedayat A,et al.Artificial intelligence education in radiology training:A systematic review of effectiveness,barriers,and future directions[J].Acad Radiol,2025,Epub ahead of print.
[32]Lv W,Zhu W,Wang M,et al.Application of Artificial Intelligence in Optimizing Medical Imaging Workflows[A].Artif Intell Med Imaging China[C].Singapore:Springer Nature Singapore,2024:111-131.
[33]Qin Z,Zhang H,Sun X,et al.Multi-Source Collaborative Annotation and Management Platform for CCA Images:Bridging AI Development and Clinical Diagnostics[A].2025 10th Int Conf Signal Image Process ICSIP[C].Wuxi,China:IEEE,2025:162-166.
[34]Shang L,Li R,Xue M,et al.Evaluating the application of ChatGPT in China's residency training education:An exploratory study[J].Med Teach,2025,47:858-864.
[35]Nieboer P,Huiskes M.New perspectives on apprenticeship learning[J].Ned Tijdschr Geneeskd,2021,164:D5283.
[36]Lytras MD,Aljohani N,Daniela l,et al.Cognitive computing in technology-enhanced learning[M].IGI Global,2019.
[37]Fitria TN.Augmented reality(AR)and virtual reality(VR)technology in education:media of teaching and learning:a review[J].Int J Comput Inf Syst IJCIS,2023,4:14-25.
[38]杨子雨,朱锡雨,虞隽扬.人工智能在介入医学中的应用及前景[J].介入放射学杂志,2025,34:441-444.
Yang ZY,Zhu XY,Yu JY,et al.Application and prospect of artificial intelligence in interventional medicine[J].J Intervent Med,2025,34:441-444.
[39]何梓君,孔 健.人工智能在介入放射学中的运用前景及挑战[J].介入放射学杂志,2023,32:1251-1255.
He ZJ,Kong J.The application prospects and challenges of artificial intelligence in interventional radiology[J].J Intervent Med,,2023,32:1251-1255.
[40]Liu Z,Bible J,Wells J,et al.Examining the effect of haptic factors for vascular palpation skill assessment using an affordable simulator[J].IEEE Open J Eng Med Biol,2020,1:228-234.
[41]Torossian K,Benayoun S,Ottenio M,et al.Guidelines for designing a realistic peripheral venous catheter insertion simulator:a literature review[J].Proc Inst Mech Eng,2019; 233:963-978.
[42]Guo J,He L,Guo S.Study on Force Feedback Control of the Vascular Interventional Surgical Robot based on Fuzzy PID[A].2020 IEEE Int Conf Mechatron Autom ICMA[C].Beijing,China:IEEE,2020:1710-1715.
[43]Yang C,Guo S,Xie H,et al.A Deep Reinforcement Learning Approach for Autonomous Guidewire Navigation in Vascular Interventional Surgery[A].2025 IEEE Int Conf Mechatron Autom ICMA[C].Beijing,China:IEEE,2025:163-168.
[44]Ren Z,Yu S X,Whitney D.Controllable medical image generation via GAN[J].J Percept Imaging,2022,5:000502-1-000502-15.
[45]Jadon A,Kumar S.Leveraging Generative AI Models for Synthetic Data Generation in Healthcare:Balancing Research and Privacy[A].2023 Int Conf Smart Appl Commun Netw SmartNets[C].Istanbul,Turkiye:IEEE,2023:1-4.
[46]Koetzier L R,Wu J,Mastrodicasa D,et al.Generating synthetic data for medical imaging[J].Radiology,2024,312:e232471.
[47]高志康,崔艳峰,徐 浩,等.AR技术配合3D打印模型在介入手术教学培训中的应用[J].世界最新医学信息文摘,2021,21:357-358.
Gao ZK,Cui YF,Xu H,Sha JC.Application of AR technology combined with 3D printed models in interventional surgery teaching and training[J].World Latest Med Inf,2021,21:357-358.
[48]Cheng F,Qiao Z,Zhao L,et al.Real-time 3D-3D image fusion of CTA/CBCT roadmap fluoroscopy in the transcatheter mitral intervention[J].Catheter Cardiovasc Interv,2024,103:230-233.
[49]Lesaunier A,Khlaut J,Dancette C,et al.Artificial intelligence in interventional radiology:Current concepts and future trends[J].Diagn Interv Imaging,2025,106:5-10.
[50]Pore A,Li Z,Dall'Alba D,et al.Autonomous navigation for robot-assisted intraluminal and endovascular procedures:a systematic review[J].IEEE Trans Robot,2023,39:2529-2548.
[51]Frontiers.Soft-tissue simulation of the breast for intraope-rative navigation and fusion of preoperative planning[EB/OL].https:∥www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2022.976328/full,2025-11-03.
[52]Lastrucci A,Iosca N,Wandael Y,et al.AI and Interventional Radiology:A Narrative Review of Reviews on Opportunities,Challenges,and Future Directions[J].Diagnostics,2025,15:893.
[53]徐文博,于 洋,王 超.介入治疗与教学的元宇宙:前生、今世与未来[J].中国医学教育技术,2023,37:397-401.
Xu WB,Yu Y,Wang C.The Metaverse of interventional therapy and teaching:past,present and future[J].China Med Educ Technol,2023,37:397-401.
[54]吕 勇,樊代明,王 钧.DeepSeek在临床医学专硕培养中的应用及挑战[J].医学与哲学,2025,46:58-63.
Lyu Y,Fan DM,Wang J.Application and challenges of DeepSeek in the training of professional postgraduates in clinical medicine[J].Med Philos,2025,46:58-63.
[55]Ali M.The role of aAI in reshaping medical education:opportunities and challenges[J].Clin Teach,2025,22:e70040.
[56]Verghese A,Shah NH,Harrington RA.What this computer needs is a physician:humanism and artificial intelligence[J].JAMA,2018,319:19.
[57]Zhang J,Zhang Z.Ethics and governance of trustworthy medical artificial intelligence[J].BMC Med Inform Decis Mak,2023,23:7.
[58]Heston T,Khun C.Prompt engineering in medical education[J].Int Med Educ,2023,2:198-205.
[59]Roustan D,Bastardot F.The clinicians' guide to large language models:a general perspective with a focus on hallucinations[J].Interact J Med Res,2025,14:e59823.
[60]Asciak L,Kyeremeh J,Luo X,et al.Digital twin assisted surgery,concept,opportunities,and challenges[J].Npj Digit Med,2025,8:32.
[61]Lee S M,Coimbra Baffi H,Ola T,et al.Clinical applications of virtual and augmented reality in radiology:a scoping review[J].J Clin Med,2025,14:7438.
[62]崔芳芳,李中琳,何贤英,等.医疗人工智能临床应用的伦理思考[J].中国医学伦理学,2025,38:159-165.
Cui FF,Li ZL,He XY,et al.Ethical considerations on the clinical application of medical artificial intelligence[J].Chin Med Ethics,2025,38:159-165.
[63]Tejani AS,Ng YS,Xi Y,et al.Understanding and mitigating bias in imaging artificial intelligence[J].Radiographics,2024,44:e230067.
(收稿日期:2025-11-03)
(本文编辑:新 宇)