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Doctors in Medical Data Sciences: A New Curriculum
6
Zitationen
3
Autoren
2022
Jahr
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.
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Autoren
Institutionen
- Centre National de la Recherche Scientifique(FR)
- Université Toulouse III - Paul Sabatier(FR)
- Université Toulouse-I-Capitole(FR)
- Institut de Recherche en Informatique de Toulouse(FR)
- Université Toulouse - Jean Jaurès(FR)
- Institut Polytechnique de Bordeaux(FR)
- Institut de Mathématiques de Toulouse(FR)
- University of Ottawa(CA)
- Inserm(FR)
- École Nationale Vétérinaire de Toulouse(FR)
- Université Fédérale de Toulouse Midi-Pyrénées(FR)
- Centre Hospitalier Universitaire de Toulouse(FR)