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DOI:
https://doi.org/10.53740/rsm.v1i01.890Keywords:
Medical Education, Artificial Intelligence, Simulation, Distance Learning, Automated Assessment.Abstract
Objective: To explore the use of Artificial Intelligence (AI) in medical education, highlighting its advantages, challenges, and impacts on the teaching process. Methods: A literature review was conducted in databases such as Medline, Scopus, and Web of Science, using keywords such as “Artificial Intelligence” and “Medical Education”. The studies were critically evaluated based on their relevance. Results: AI offers several advantages for medical education, including greater accuracy and efficiency in diagnostics, distance learning, and simulation platforms. These technologies provide automated assessment and improve student learning. However, challenges include the need for advanced technological infrastructure, data privacy concerns, and the potential reduction of student reflection due to excessive reliance on AI. Conclusions: Despite the challenges, AI has great potential to transform medical education, making teaching more accessible and effective. For this impact to be positive, it is necessary to overcome the technological and ethical barriers. Future physicians' perceptions show a favorable attitude towards AI and its promises for medicine.
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