BrownTB, MannB, RyderN, et al.Language models are few-shot learners. In: Advances in Neural Information Processing Systems 33 (NeurIPS 2020). NeurIPS Proceedings; 2020; pp. 1877–1901.
2.
SinghalK, AziziS, TuT, et al.Large language models encode clinical knowledge. Nature., 2023; 620(7972):172–180; doi: 10.1038/s41586-023-06291-2
3.
ManzCR, ParikhRB, SmallDS, et al.Effect of integrating machine learning mortality estimates with behavioral nudges to clinicians on serious illness conversations among patients with cancer: A stepped-wedge cluster randomized clinical trial. JAMA Oncol., 2020; 6(12):e204759; doi: 10.1001/jamaoncol.2020.4759
4.
ObermeyerZ, EmanuelEJ. Predicting the future—big data, machine learning, and clinical medicine. N Engl J Med., 2016; 375(13):1216–1219; doi: 10.1056/NEJMp1606181
5.
VaswaniA, ShazeerN, ParmarN, et al.Attention is all you need. In: Advances in Neural Information Processing Systems 30 (NeurIPS 2017). NeurIPS Proceedings; 2017; pp. 5998–6008.
6.
BommasaniR, HudsonDA, AdeliE, et al.On the opportunities and risks of foundation models. ArXiv, 2021; doi: 10.48550/arXiv.2108.07258
7.
FloridiL, SandersJW. On the morality of artificial agents. Minds Mach, 2004; 14(3):349–379; doi: 10.1023/B:MIND.0000035461.63578.9d
8.
European Parliament and Council of the European Union. Regulation (EU) 2024/1689 of the European parliament and of the council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2016/798. Off J Eur Union, 2024:1–178.
9.
CruessRL, CruessSR, SteinertY. Supporting the development of a professional identity: General principles. Med Teach., 2019; 41(6):641–649; doi: 10.1080/0142159X.2018.1536260
10.
CruessRL, CruessSR. Teaching medicine as a profession in the service of healing. Acad Med., 1997; 72(11):941–952; doi: 10.1097/00001888-199711000-00009
11.
SwellerJ. Cognitive load during problem solving: Effects on learning. Cogn Sci, 1988; 12(2):257–285; doi: 10.1207/s15516709cog1202_4
12.
WeiJ, WangX, SchuurmansD, et al.Chain-of-thought prompting elicits reasoning in large language models. In: Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Proceedings; 2022; pp. 24824–24837.
13.
BenderEM, GebruT, McMillan-MajorA, et al.On the dangers of stochastic parrots: Can language models be too big? In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT). Association for Computing Machinery: New York, NY; 2021; pp. 610–623; doi:10.1145/3442188.3445922
14.
KeganR. The Evolving Self: Problem and Process in Human Development. Harvard University Press: Cambridge, MA; 1982.
15.
BebeauMJ, MonsonVE. Professional identity formation and transformation across the life span. In: Learning Trajectories, Innovation and Identity for Professional Development. (McKeeA, ErautM., eds.) Springer: Dordrecht, the Netherlands; 2012; pp. 135–156.