Navigating the AI revolution in medicine - adopting strategies for medical education
The integration of artificial intelligence (AI) into healthcare is set to fundamentally transform the role of medical professionals. This article takes a dive into the future specifying several strategies to prepare medical and other health professions students for an AI-driven healthcare system. It highlights the current and potential applications of AI in healthcare and discusses, in the immediate term, the necessity of incorporating AI education into medical curricula, including hands-on training and interdisciplinary collaboration. With a view to a more distant future, it also addresses probable ethical considerations, the evolving roles of healthcare professionals, a need for contingency and emphasises the importance of maintaining clinical skills amidst AI advancements. These strategies all aim to equip future medical graduates with competencies in knowledge, skills, and ethical grounding required to thrive in an AI-dominated healthcare environment. This framework is intended to stimulate discussion and provide a foundation upon which more detailed, context-specific strategies can be developed by educators, policymakers, and other stakeholders.
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Comments
This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s40670-024-02257-9Published Citation
Greengrass C. Navigating the AI revolution in medicine—adopting strategies for medical education. Med.Sci.Educ. 2024.Publication Date
27 December 2024External DOI
Department/Unit
- RCSI Bahrain
Publisher
Springer NatureVersion
- Accepted Version (Postprint)