We appreciate the comment by Dr. Das and welcome the opportunity to provide some thoughts about Artificial Intelligence (AI) in neurology education. We drafted this manuscript in the first half of 2022, and it was accepted in its final form in October 2022, a month before the launch of ChatGPT moved AI to the forefront of our collective consciousness. Although the principles of machine learning date back to the 1950s, the integration of AI into medical research and clinical care has been challenging and typically slower than predicted. We direct readers to the excellent Future Forecasting Series article by Jones and Kerber1 for a detailed and nuanced discussion of this issue. There have been many examples of potential applications of AI in all aspects of medical education, but there are still major limitations in the methodological frameworks to evaluate the effect of this work.2 AI will likely play a greater role in everything in 2035—including neurology education—and like every other technological innovation, it will have essential applications and serious shortcomings. Our goal as educators will be to ensure that the desire for efficiency and automation does not supplant the centrality of human relationships in our educational mission.
Footnotes
Contributor Information
Jeremy J. Moeller, (New Haven, CT)
Rachel M.E. Salas, (Baltimore)
References
- 1.Jones DT, Kerber KA. Artificial intelligence and the practice of neurology in 2035: the neurology future forecasting series. Neurology. 2022;98(6):238-245. doi: 10.1212/WNL.0000000000013200 [DOI] [PubMed] [Google Scholar]
- 2.Tolsgaard MG, Pusic MV, Sebok-Syer SS, et al. The fundamentals of artificial intelligence in medical education research: AMEE Guide No. 156. Med Teach. 2023:1-9. doi: 10.1080/0142159X.2023.2180340 [DOI] [PubMed] [Google Scholar]