Performance and exploration of ChatGPT in medical examination, records and education in Chinese: Pave the way for medical AI

[1]  Hyung Won Chung,et al.  Publisher Correction: Large language models encode clinical knowledge. , 2023, Nature.

[2]  E. Horvitz,et al.  Capabilities of GPT-4 on Medical Challenge Problems , 2023, ArXiv.

[3]  R. D’Amico,et al.  I Asked a ChatGPT to Write an Editorial About How We Can Incorporate Chatbots Into Neurosurgical Research and Patient Care…. , 2023, Neurosurgery.

[4]  R. Taylor,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 , 2023, JMIR medical education.

[5]  L. Cho,et al.  Appropriateness of Cardiovascular Disease Prevention Recommendations Obtained From a Popular Online Chat-Based Artificial Intelligence Model. , 2023, JAMA.

[6]  E. A. V. van Dis,et al.  ChatGPT: five priorities for research , 2023, Nature.

[7]  D. Bhugra,et al.  Generating scholarly content with ChatGPT: ethical challenges for medical publishing. , 2023, The Lancet. Digital health.

[8]  Kyle Lam,et al.  ChatGPT: the future of discharge summaries? , 2023, The Lancet. Digital health.

[9]  G. Štiglic,et al.  Can ChatGPT Pass the Life Support Exams without Entering the American Heart Association Course? , 2023, Resuscitation.

[10]  D. Yokokawa,et al.  Hybrid PBL and Pure PBL: Which one is more effective in developing clinical reasoning skills for general medicine clerkship?—A mixed-method study , 2023, PloS one.

[11]  Holly Else.  Abstracts written by ChatGPT fool scientists , 2023, Nature.

[12]  Tools such as ChatGPT threaten transparent science; here are our ground rules for their use , 2023, Nature.

[13]  Xiancheng Wang.  Experiences, challenges, and prospects of National Medical Licensing Examination in China , 2022, BMC medical education.

[14]  Karina Vold,et al.  Believing in Black Boxes: Machine Learning for Healthcare Does Not Need Explainability to be Evidence-Based. , 2021, Journal of clinical epidemiology.

[15]  T. Moeslund,et al.  Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey , 2020, Journal of medical Internet research.

[16]  Stephan Jacobs,et al.  The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? , 2020, Artif. Intell. Medicine.

[17]  M. Milne-Ives,et al.  The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review , 2020, Journal of medical Internet research.

[18]  Di Jin,et al.  What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams , 2020, Applied Sciences.

[19]  Sijia Liu,et al.  Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation , 2019, npj Digital Medicine.

[20]  Jianfeng Gao,et al.  Challenges in Building Intelligent Open-domain Dialog Systems , 2019, ACM Trans. Inf. Syst..

[21]  Hal Hodson,et al.  Google DeepMind and healthcare in an age of algorithms , 2017, Health and Technology.

[22]  C. V. D. van der Vleuten,et al.  Theoretical perspectives and applications of group learning in PBL , 2016, Medical teacher.

[23]  Weiguo Pang,et al.  From PBL tutoring to PBL coaching in undergraduate medical education: an interpretative phenomenological analysis study , 2016, Medical education online.