AI in Medical Education: Global situation, effects and challenges

A significant increase in publications was noted in 2022 compared with the two previous years, and this was later surpassed by publications in 2023.

“A significant increase was noted in 2022 compared with the two previous years, coinciding with the release of ChatGPT by OpenAI [8, 23], which was later surpassed by those published in 2023 (Fig. 1).”

Enthusiasm was juxtaposed with concerns, including a lack of knowledge about AI's mechanisms, workings, specific applications, and firsthand clinical experience with AI; some students worried that AI could reduce human interaction with patients and dehumanize healthcare; and there were concerns about data protection, increased workplace surveillance, and the potential impact of AI on physician

“However, enthusiasm was juxtaposed with concerns, including a lack of knowledge about AI’s mechanisms, workings, specific applications, and firsthand clinical experience with AI [46, 76]. Some students worried that AI could reduce human interaction with patients and dehumanize healthcare [48]. Additionally, there were concerns about data protection [23], increased workplace surveillance [42], and”

AI aided in automating marking and grading while providing feedback.

“automating marking and grading while providing feedback [23].”

AI-related skills such as computational thinking, data ethics, and interdisciplinary collaboration cannot be taught as optional extras and must be integrated into the fundamental structure of medical training.

“There is an increasing recognition that AI-related skills—such as computational thinking, data ethics, and interdisciplinary collaboration—cannot be taught as optional extras. They must be integrated into the fundamental structure of medical training [8–10].”