Artificial intelligence (AI) is finding its way into healthcare. Therefore, medical students need to be trained to be ‘bilingual’ in both medical and computational terminology and concepts to allow them to understand, implement and evaluate AI-related research.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 digital issues and online access to articles
$99.00 per year
only $8.25 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Topol, E. J. High-performance medicine: the convergence of human and artificial intelligence. Nat. Med. 25, 44–56 (2019).
Wong, A. et al. External validation of a widely implemented proprietary sepsis prediction model in hospitalized patients. JAMA Intern. Med. 181, 1065–1070 (2021).
Gihawi, A. et al. Major data analysis errors invalidate cancer microbiome findings. mBio 14, e01607–23 (2024).
Goddard, K., Roudsari, A. & Wyatt, J. C. Automation bias: a systematic review of frequency, effect mediators, and mitigators. J. Am. Med. Inform. Assoc. 19, 121–127 (2012).
Kelly, C. J., Karthikesalingam, A., Suleyman, M., Corrado, G. & King, D. Key challenges for delivering clinical impact with artificial intelligence. BMC Med. 17, 195 (2019).
Suran, M. & Hswen, Y. How to navigate the pitfalls of AI hype in health care. J. Am. Med. Assoc. 331, 273–276 (2024).
Mekki, Y. M. Physicians should build their own machine-learning models. Patterns 5, 100948 (2024).
Cummins, G., Cox, B. F., Walker, J. D., Cochran, S. & Desmulliez, M. P. Y. Challenges in developing collaborative interdisciplinary research between gastroenterologists and engineers. J. Med. Eng. Technol. 42, 435–442 (2018).
Du, X., Nomikos, M., Ali, K., Lundberg, A. & Abu-Hijleh, M. Health educators’ professional agency in negotiating their problem-based learning (PBL) facilitator roles: Q study. Med. Educ. 56, 847–857 (2022).
Acknowledgements
We thank S. AlMaadheed and M. Chowdhury for help in teaching the AI in Medicine Elective, as well as for their vital role as mentors and faculty for the Qatar AI and XR in Healthcare group. We also thank all the guests and friends of the interest group worldwide who helped shape this piece.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Related links
Online student journal club for medical AI: https://twitter.com/yusramagdi
Reporting Standards for Machine Learning Based Science (REFORMS): https://reforms.cs.princeton.edu/
Rights and permissions
About this article
Cite this article
Mekki, Y.M., Zughaier, S.M. Teaching artificial intelligence in medicine. Nat Rev Bioeng (2024). https://doi.org/10.1038/s44222-024-00195-0
Published:
DOI: https://doi.org/10.1038/s44222-024-00195-0