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Artificial Intelligence in Endocrinology: On Track Toward Great Opportunities.
Assié, Guillaume; Allassonnière, Stéphanie.
Afiliación
  • Assié G; Université Paris Cité, CNRS UMR8104, INSERM U1016, Institut Cochin, F-75014 Paris, France.
  • Allassonnière S; Service d'endocrinologie, Center for Rare Adrenal Diseases, Assistance Publique-Hôpitaux de Paris, Hôpital Cochin, 75014 Paris, France.
J Clin Endocrinol Metab ; 109(6): e1462-e1467, 2024 May 17.
Article en En | MEDLINE | ID: mdl-38466742
ABSTRACT
In endocrinology, the types and quantity of digital data are increasing rapidly. Computing capabilities are also developing at an incredible rate, as illustrated by the recent expansion in the use of popular generative artificial intelligence (AI) applications. Numerous diagnostic and therapeutic devices using AI have already entered routine endocrine practice, and developments in this field are expected to continue to accelerate. Endocrinologists will need to be supported in managing AI applications. Beyond technological training, interdisciplinary vision is needed to encompass the ethical and legal aspects of AI, to manage the profound impact of AI on patient/provider relationships, and to maintain an optimal balance between human input and AI in endocrinology.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Endocrinología Límite: Humans Idioma: En Revista: J Clin Endocrinol Metab Año: 2024 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Endocrinología Límite: Humans Idioma: En Revista: J Clin Endocrinol Metab Año: 2024 Tipo del documento: Article País de afiliación: Francia
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