Your browser doesn't support javascript.
loading
Doctors in Medical Data Sciences: A New Curriculum.
Cussat-Blanc, Sylvain; Castets-Renard, Céline; Monsarrat, Paul.
Afiliación
  • Cussat-Blanc S; Artificial and Natural Intelligence Toulouse Institute ANITI, 31013 Toulouse, France.
  • Castets-Renard C; Institute of Research in Informatics (IRIT) of Toulouse, CNRS-UMR5505, 31400 Toulouse, France.
  • Monsarrat P; Artificial and Natural Intelligence Toulouse Institute ANITI, 31013 Toulouse, France.
Article en En | MEDLINE | ID: mdl-36612994
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.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Ciencia de los Datos Límite: Humans Idioma: En Revista: Int J Environ Res Public Health Año: 2022 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Ciencia de los Datos Límite: Humans Idioma: En Revista: Int J Environ Res Public Health Año: 2022 Tipo del documento: Article País de afiliación: Francia