Generative artificial intelligence (AI), represented by chat generative pre-trained transformer (ChatGPT), can generate content in multiple formats such as text, images, and audio according to instructions, and has become one of the hottest areas in AI research. Based on text, images, audio and other multi-modal data training, generative AI can understand and generate natural language, answer professional questions, and complete other language-related tasks with high accuracy. It has excellent performance in areas such as language translation, text writing, code programming, and medical image interpretation. In recent years, generative AI has begun to be applied in the field of respiratory medicine and has gradually become a research hotspot. This article reviews the current status of application and limitations of generative AI, especially ChatGPT, in medical education, assisted diagnosis, clinical decision support, image analysis, medical research, and doctor-patient communication.
1.Gilson A, Safranek CW, Huang T, et al. How does ChatGPT perform on the United States Medical Licensing Examination (USMLE)? The implications of large language models for medical education and knowledge assessment[J]. JMIR Med Educ, 2023, 9: e45312. DOI: 10.2196/45312.
2.张熙, 杨小汕, 徐常胜, 等. ChatGPT及生成式人工智能现状及未来发展方向[J]. 中国科学基金, 2023, 37(5): 743-750. [Zhang X, Yang XS, Xu CS, et al. Current state and future development directions of ChatGPT and generative artificial intelligence[J]. Bulletin of National Natural Science Foundation of China, 2023, 37(5): 743-750.] DOI: 10.16262/j.cnki.1000-8217.20231026.002.
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(13): 1233-1239. DOI: 10.1056/NEJMsr2214184.
4.Liu J, Wang C, Liu S. Utility of ChatGPT in clinical practice[J]. J Med Internet Res, 2023, 25: e48568. DOI: 10.2196/48568.
5.Preiksaitis C, Rose C. Opportunities, challenges, and future directions of generative artificial intelligence in medical education: scoping review[J]. JMIR Med Educ, 2023, 9: e48785. DOI: 10.2196/48785.
6.Kung TH, Cheatham M, Medenilla A, et al. Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models[J]. PLOS Digit Health, 2023, 2(2): e0000198. DOI: 10.1371/journal.pdig.0000198.
7.Ming S, Guo Q, Cheng W, et al. Influence of model evolution and system roles on ChatGPT's performance in Chinese medical licensing exams: comparative study[J]. JMIR Med Educ, 2024, 10: e52784. DOI: 10.2196/52784.
8.Burke HB, Hoang A, Lopreiato JO, et al. Assessing the ability of a large language model to score free-text medical student clinical notes: quantitative study[J]. JMIR Med Educ, 2024, 10: e56342. DOI: 10.2196/56342.
9.Khan RA, Jawaid M, Khan AR, et al. ChatGPT - reshaping medical education and clinical management[J]. Pak J Med Sci, 2023, 39(2): 605-607. DOI: 10.12669/pjms.39.2.7653.
10.Luo H, Yan J, Zhou X. Evaluating artificial intelligence responses to respiratory medicine questions[J]. Respirology, 2024, 29(7): 640-643. DOI: 10.1111/resp.14733.
11.Thomae AV, Witt CM, Barth J. Integration of ChatGPT into a course for medical students: explorative study on teaching scenarios, students' perception, and applications[J]. JMIR Med Educ, 2024, 10: e50545. DOI: 10.2196/50545.
12.Mir MM, Mir GM, Raina NT, et al. Application of artificial intelligence in medical education: current scenario and future perspectives[J]. J Adv Med Educ Prof, 2023, 11(3): 133-140. DOI: 10.30476/JAMP.2023.98655.1803.
13.Mu Y, He D. The potential applications and challenges of ChatGPT in the medical field[J]. Int J Gen Med, 2024, 17: 817-826. DOI: 10.2147/IJGM.S456659.
14.Rao A, Pang M, Kim J, et al. Assessing the utility of ChatGPT throughout the entire clinical workflow: development and usability study[J]. J Med Internet Res, 2023, 25: e48659. DOI: 10.2196/48659.
15.Hoppe JM, Auer MK, Strüven A, et al. ChatGPT with GPT-4 outperforms emergency department physicians in diagnostic accuracy: retrospective analysis[J]. J Med Internet Res, 2024, 26: e56110. DOI: 10.2196/56110.
16.Kanjee Z, Crowe B, Rodman A. Accuracy of a generative artificial intelligence model in a complex diagnostic challenge[J]. JAMA, 2023, 330(1): 78-80. DOI: 10.1001/jama.2023.8288.
17.Abdullahi T, Singh R, Eickhoff C. Learning to make rare and complex diagnoses with generative AI assistance: qualitative study of popular large language models[J]. JMIR Med Educ, 2024, 10: e51391. DOI: 10.2196/51391.
18.Hirosawa T, Kawamura R, Harada Y, et al. ChatGPT-generated differential diagnosis lists for complex case-derived clinical vignettes: diagnostic accuracy evaluation[J]. JMIR Med Inform, 2023, 11: e48808. DOI: 10.2196/48808.
19.Hu D, Liu B, Zhu X, et al. Zero-shot information extraction from radiological reports using ChatGPT[J]. Int J Med Inform, 2024, 183: 105321. DOI: 10.1016/j.ijmedinf.2023.105321.
20.Fink MA, Bischoff A, Fink CA, et al. Potential of ChatGPT and GPT-4 for data mining of free-text CT reports on lung cancer[J]. Radiology, 2023, 308(3): e231362. DOI: 10.1148/radiol.231362.
21.Hasani AM, Singh S, Zahergivar A, et al. Evaluating the performance of generative pre-trained transformer-4 (GPT-4) in standardizing radiology reports[J]. Eur Radiol, 2024, 34(6): 3566-3574. DOI: 10.1007/s00330-023-10384-x.
22.Zhou HY, Yu Y, Wang C, et al. A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics[J]. Nat Biomed Eng, 2023, 7(6): 743-755. DOI: 10.1038/s41551-023-01045-x.
23.曾梦, 赵娜, 王显棋, 等. 基于胸部CT图像的肺炎深度学习分类预测模型[J]. 陆军军医大学学报, 2023, 45(21): 2266-2274. [Zeng M, Zhao N, Wang XQ, et al. Establishment of a chest-CT-image-based classification deep learning model for pneumonia prediction[J]. Journal of Army Medical University, 2023, 45(21): 2266-2274.] DOI: 10.16016 / j.2097-0927.202307139.
24.李明宵, 何柳, 孔羽, 等. 人工智能应用于心血管疾病诊疗的现状与展望[J]. 武汉大学学报(医学版), 2023, 44(10): 1159-1163. [Li MX, He L, Kong Y, et al. Status and prospect of artificial intelligence in the diagnosis and treatment of cardiovascular disease[J]. Medical Journal of Wuhan University, 2023, 44(10): 1159-1163.] DOI: 10.14188/j.1671-8852.2023.6003.
25.Rizwan A, Sadiq T. The use of AI in diagnosing diseases and providing management plans: a consultation on cardiovascular disorders with ChatGPT[J]. Cureus, 2023, 15(8): e43106. DOI: 10.7759/cureus.43106.
26.Clark SC. Can ChatGPT transform cardiac surgery and heart transplantation?[J]. J Cardiothorac Surg, 2024, 19(1): 108. DOI: 10.1186/s13019-024-02541-0.
27.Lee PY, Salim H, Abdullah A, et al. Use of ChatGPT in medical research and scientific writing[J]. Malays Fam Physician, 2023, 18: 58. DOI: 10.51866/cm0006.
28.Wiwanitkit S, Wiwanitkit V. ChatGPT, medical research and scientific writing[J]. Malays Fam Physician, 2024, 19: 3. DOI: 10.51866/lte.545.
29.Chandra A, Dasgupta S. Impact of ChatGPT on medical research article writing and publication[J]. Sultan Qaboos Univ Med J, 2023, 23(4): 429-432. DOI: 10.18295/squmj.11.2023.068.
30.Arshad HB, Butt SA, Khan SU, et al. ChatGPT and artificial intelligence in hospital level research: potential, precautions, and prospects[J]. Methodist Debakey Cardiovasc J, 2023, 19(5): 77-84. DOI: 10.14797/mdcvj.1290.
31.Cheong RCT, Unadkat S, Mcneillis V, et al. Artificial intelligence chatbots as sources of patient education material for obstructive sleep apnoea: ChatGPT versus google bard[J]. Eur Arch Otorhinolaryngol, 2024, 281(2): 985-993. DOI: 10.1007/s00405-023-08319-9.
32.Lyu Q, Tan J, Zapadka ME, et al. Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential[J]. Vis Comput Ind Biomed Art, 2023, 6(1): 9. DOI: 10.1186/s42492-023-00136-5.
33.Rogasch JMM, Metzger G, Preisler M, et al. ChatGPT: can you prepare my patients for [18F]FDG PET/CT and explain my reports?[J]. J Nucl Med, 2023, 64(12): 1876-1879. DOI: 10.2967/jnumed.123.266114.
34.Hasnain M, Hayat A, Hussain A. Revolutionizing chronic obstructive pulmonary disease care with the open AI application: ChatGPT[J]. Ann Biomed Eng, 2023, 51(10): 2100-2102. DOI: 10.1007/s10439-023-03238-6.
35.Xu T, Weng H, Liu F, et al. Current status of ChatGPT use in medical education: potentials, challenges, and strategies[J]. J Med Internet Res, 2024, 26: e57896. DOI: 10.2196/57896.
36.Boscardin CK, Gin B, Golde PB, et al. ChatGPT and generative artificial intelligence for medical education: potential impact and opportunity[J]. Acad Med, 2024, 99(1): 22-27. DOI: 10.1097/ACM.0000000000005439.
37.Zhui L, Fenghe L, Xuehu W, et al. Ethical considerations and fundamental principles of large language models in medical education: viewpoint[J]. J Med Internet Res, 2024, 26: e60083. DOI: 10.2196/60083.
38.陈湘, 邓然, 吴川清. 生成式人工智能大型语言模型在医学教育实践的探讨[J]. 临床急诊杂志, 2024, 25(6): 310-314. [Chen X, Deng R, Wu CQ. Exploration of generative artificial intelligence large language models in medical education practice[J]. Journal of Clinical Emergency, 2024, 25(6): 310-314.] DOI: 10.13201/ji.sn.1009-5918.2024.06.007.
39.吴宗宪, 肖艳秋. 生成式人工智能的应用、风险与法律回应——以ChatGPT为视角[J]. 天津师范大学学报(社会科学版), 2024. (2024-03-25). [Wu ZX, Xiao YQ. The application, risk and legal response of artificial intelligence generated content——taking the perspective of ChatGPT[J]. Journal of Tianjin Normal University (Social Sciences), 2024. (2024-03-25).] https://www.cqvip.com/doc/journal/3342160306
40.潘高涧, 叶冠志, 方韶韩, 等. ChatGPT在医学临床实践应用与伦理探索[J/OL]. 中国胸心血管外科临床杂志, 2024, (2024-03-25). [Pan GJ, Ye GZ, Fang SH, et al. Application and ethical exploration of ChatGPT in medical clinical practice[J/OL]. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2024, (2024-03-25).] http://kns.cnki.net/kcms/detail/51.1492.R.20240321.1047.022.html
41.Hacker P, Engel A, Mauer M. Regulating ChatGPT and other large generative AI models[C]. FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023, 1112-1123. https://dl.acm.org/doi/10.1145/3593013.3594067
42.Bouderhem R. Shaping the future of AI in healthcare through ethics and governance[J]. Palgrave Communications, 2024, 11(1): 1-12. DOI: 10.1057/s41599-024-02894-w.
43.Jeyaraman M, Ramasubramanian S, Balaji S, et al. ChatGPT in action: harnessing artificial intelligence potential and addressing ethical challenges in medicine, education, and scientific research[J]. World J Methodol, 2023, 13(4): 170-178. DOI: 10.5662/wjm.v13.i4.170.