First Real-World Study Evaluates AI Clinical Decision Tools in Resident Training — Cambridge Health Alliance Trial

References

1. 1.Cambridge Health Alliance. (2024). A Comparative Performance Evaluation of Four Publicly Available Large Language Models Against Gold Standard Medical References. ClinicalTrials.gov. NCT07199231. https://clinicaltrials.gov/study/NCT07199231
2. 2.Lee, P., Bubeck, S., & Petro, J. (2023). Benefits, limits, and risks of GPT-4 as an AI chatbot for medicine. New England Journal of Medicine, 388(13), 1233-1239. https://doi.org/10.1056/NEJMsr2214184
3. 3.Rajpurkar, P., Chen, E., Banerjee, O., & Topol, E. J. (2022). AI in health and medicine. Nature Medicine, 28(1), 31-38. https://doi.org/10.1038/s41591-021-01614-0
4. 4.Singhal, K., Azizi, S., Tu, T., Mahdavi, S. S., Wei, J., Chung, H. W., ... & Natarajan, V. (2023). Large language models encode clinical knowledge. Nature, 620(7972), 172-180. https://doi.org/10.1038/s41586-023-06291-2
5. 5.Thirunavukarasu, A. J., Ting, D. S. J., Elangovan, K., Gutierrez, L., Tan, T. F., & Ting, D. S. W. (2023). Large language models in medicine. Nature Medicine, 29(8), 1930-1940. https://doi.org/10.1038/s41591-023-02448-8