Developing medical artificial intelligence leaders: International university consortium approach

Abstract

Machine learning applications are increasingly used in medicine. The
\ndemand for ‘augmented doctors,’1 or ‘enhanced physicians’, that is,
\nphysicians capitalising rather than opposing incoming technology,
\nhas been recognised. However, teaching medical Artificial Intelligence
\nis challenging, especially in already oversaturated medical curricula
\nwith most medical schools lacking Artificial Intelligence
\nexpertise.
\nTo help medical students become ‘augmented doctors’, an
\ninternational collaborative educational project, the GAME-TEI (Global
\nAlliance of Medical Excellence–Transnational Educational Initiative)
\n(https://www.game-med.net/tei), planned its ‘summer school’
\nthemed Artificial Intelligence in Medicine and Medical Education at the
\nUniversity of Bologna, Italy in July 2020. The COVID-19 pandemic led to a rapid transformation into an online course involving medical students
\nfrom nine countries.

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