Stanford Medcast Episode 68: Hot Topics Mini-Series - ChatGPT's Role in Transforming Medicine and Education

In this episode, Drs. Victor R. Lee and Nigam Shah discuss the use of AI technologies, such as Chat GPT, in medicine and medical education. Dr. Lee is an Associate Professor at Stanford University's Graduate School of Education and leads the Data Interactions & STEM Teaching and Learning (DISTAL) Lab. Dr. Shah is a Professor of Medicine at Stanford University and serves as the Chief Data Scientist for Stanford Health Care. During our conversation, we explore the advantages and disadvantages of AI technologies and discuss how they are sometimes misused. We also delve into the mechanisms that can be implemented to ensure continuous improvement in the accuracy of responses from Chat GPT, particularly in medical education where the implications can be life or death. Join us to learn more about human-centered AI, the ethical considerations surrounding the integration of Chat GPT or similar generative AI models into medical curricula, and the current applications of Chat GPT in clinical medicine and beyond.

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Original Release Date: 09/19/2023

Review Date: 07/23/2026

Expiration Date: 08/31/2027

Estimated Time To Complete: ˜45min

Registration Fee: Free

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1. Evaluate the use of AI in the domains of healthcare and education, including the risks and benefits.
2. Analyze the ethical considerations of AI and its application in patient care.

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American Medical Association (AMA) 
Stanford Medicine designates this Enduring Material for a maximum of 0.75 AMA PRA Category 1 Credits^TM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.  

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References/Bibliography
1. Khan, R. A., Jawaid, M., Khan, A. R., & Sajjad, M. (2023). ChatGPT - Reshaping medical education and clinical management. Pakistan journal of medical sciences, 39(2), 605–607. https://doi.org/10.12669/pjms.39.2.7653

2. Athaluri, S. A., Manthena, S. V., Kesapragada, V. S. R. K. M., Yarlagadda, V., Dave, T., & Duddumpudi, R. T. S. (2023). Exploring the Boundaries of Reality: Investigating the Phenomenon of Artificial Intelligence Hallucination in Scientific Writing Through ChatGPT References. Cureus, 15(4), e37432. https://doi.org/10.7759/cureus.37432

3. Cascella, M., Montomoli, J., Bellini, V., & Bignami, E. (2023). Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios. Journal of medical systems, 47(1), 33. https://doi.org/10.1007/s10916-023-01925-4

4. Wang, F., Casalino, L. P., & Khullar, D. (2023). Large Language Models—Applications and Implications for Health Care. JAMA, 329(14), 1215–1216. https://doi.org/10.1001/jama.2023.2234

5. Toney, A., Yip, C. M., Finnie, D., Alani, H., & Babar, Z. U. (2023). Harnessing generative AI like ChatGPT in medical education and practice: A review. Digital Health, 9, 20552076231184831. https://doi.org/10.1177/20552076231184831

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