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Ellway, R. H., & Tolsgaard, M. (2023). Artificial scholarship: LLMs in health professions education research. Advances in Health Science Education, 28, 659–664. https://doi.org/10.1007/s10459-023-10257-4.
Han, E. R., Yeo, S., Kim, M. J., Lee, Y. H., Park, K. H., & Roh, H. (2019). Medical education trends for future physicians in the era of advanced technology and artificial intelligence: an integrative review. BMC medical education, 19(1), 460. https://doi.org/10.1186/s12909-019-1891-5
Kyaw, B. M., Saxena, N., Posadzki, P., Vseteckova, J., Nikolaou, C. K., George, P. P., Divakar, U., Masiello, I., Kononowicz, A. A., Zary, N., & Tudor Car, L. (2019). Virtual Reality for Health Professions Education: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration. Journal of medical Internet research, 21(1), e12959. https://doi.org/10.2196/12959
Lindqwister, A. L., Hassanpour, S., Lewis, P. J., & Sin, J. M. (2021). AI-RADS: An Artificial Intelligence Curriculum for Residents. Academic radiology, 28(12), 1810–1816. https://doi.org/10.1016/j.acra.2020.09.017
Rambukwella, M., Balamurugan, A., Klapholz, H., & Beninger, P. (2021). The Application of Engineering Principles and Practices to Medical Education: Preparing the Next Generation of Physicians. Medical science educator, 31(2), 897–904. https://doi.org/10.1007/s40670-021-01217-x
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