Doctors in Medical Data Sciences: A New Curriculum

Sylvain Cussat-Blanc, Céline Castets-Renard and Paul Monsarrat ()
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Sylvain Cussat-Blanc: Artificial and Natural Intelligence Toulouse Institute ANITI, 31013 Toulouse, France
Céline Castets-Renard: Artificial and Natural Intelligence Toulouse Institute ANITI, 31013 Toulouse, France
Paul Monsarrat: Artificial and Natural Intelligence Toulouse Institute ANITI, 31013 Toulouse, France

IJERPH, 2022, vol. 20, issue 1, 1-5

Abstract: Machine Learning (ML), a branch of Artificial Intelligence, which is competing with human experts in many specialized biomedical fields and will play an increasing role in precision medicine. As with any other technological advances in medicine, the keys to understanding must be integrated into practitioner training. To respond to this challenge, this viewpoint discusses some necessary changes in the health studies curriculum that could help practitioners to interpret decisions the made by a machine and question them in relation to the patient’s medical context. The complexity of technology and the inherent criticality of its use in medicine also necessitate a new medical profession. To achieve this objective, this viewpoint will propose new medical practitioners with skills in both medicine and data science: the Doctor in Medical Data Sciences.

Keywords: machine learning; data science; medical education (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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