Integrating Artificial Intelligence into Medical Education: Lessons Learned From a Belgian Initiative
peer reviewed ; In the last decades, the medical practice has been facing noteworthy transformations driven by the advancement of innovative technologies like Artificial Intelligence (AI). This rapid and widespread transition generated the increasing need for an adequate education curriculum, capable of properly teaching medical students about the prospects and potentials of AI in healthcare. In this paper, we aim to present and describe the elaboration and implementation of a new academic program at the University of Mons (UMONS) designed to educate medical students about AI in healthcare. Th... Mehr ...
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Dokumenttyp: | journal article |
Erscheinungsdatum: | 2023 |
Verlag/Hrsg.: |
Association for the Advancement of Computing in Education
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Schlagwörter: | Artificial intelligence in medical education / Machine learning / Deep learning models / Educational technologies / Curriculum reforms / Medical curricula / Human health sciences / Sciences de la santé humaine |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26927329 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://orbi.uliege.be/handle/2268/305528 |
peer reviewed ; In the last decades, the medical practice has been facing noteworthy transformations driven by the advancement of innovative technologies like Artificial Intelligence (AI). This rapid and widespread transition generated the increasing need for an adequate education curriculum, capable of properly teaching medical students about the prospects and potentials of AI in healthcare. In this paper, we aim to present and describe the elaboration and implementation of a new academic program at the University of Mons (UMONS) designed to educate medical students about AI in healthcare. The course Pizzolla, Aro, Duez, De Lièvre, and Briganti was implemented in the 2022-2023 academic year aiming to train the next generation of healthcare professionals to effectively leverage AI in their work, ultimately leading to improved patient outcomes and advances in medical research.