Artificial intelligence in medicine: A matter of joy or concern?

Algorithm Artificial intelligence Deep learning Machine learning

Journal

Journal of gynecology obstetrics and human reproduction
ISSN: 2468-7847
Titre abrégé: J Gynecol Obstet Hum Reprod
Pays: France
ID NLM: 101701588

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 15 10 2020
accepted: 16 10 2020
pubmed: 6 11 2020
medline: 21 10 2021
entrez: 5 11 2020
Statut: ppublish

Résumé

Artificial Intelligence (AI), a concept which dates back to the 1950s, is increasingly being developed by many medical specialties, especially those based on imaging or surgery. While the cognitive component of AI is far superior to that of human intelligence, it lacks consciousness, feelings, intuition and adaptation to unexpected situations. Furthermore, fundamental questions arise with regard to data security, the impact on healthcare professions, and the distribution of roles between physicians and AI especially concerning consent to medical care and liability in the event of a therapeutic accident.

Identifiants

pubmed: 33148398
pii: S2468-7847(20)30332-9
doi: 10.1016/j.jogoh.2020.101962
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

101962

Informations de copyright

Copyright © 2020 Elsevier Masson SAS. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors reported no declarations of interest.

Auteurs

Kamila Kolanska (K)

Service de Gynécologie Obstétrique et Médecine de la Reproduction, AP-HP Sorbonne Université site Tenon, 4 rue de la Chine, 75020 Paris, France.

Nathalie Chabbert-Buffet (N)

Service de Gynécologie Obstétrique et Médecine de la Reproduction, AP-HP Sorbonne Université site Tenon, 4 rue de la Chine, 75020 Paris, France.

Emile Daraï (E)

Service de Gynécologie Obstétrique et Médecine de la Reproduction, AP-HP Sorbonne Université site Tenon, 4 rue de la Chine, 75020 Paris, France.

Jean-Marie Antoine (JM)

Service de Gynécologie Obstétrique et Médecine de la Reproduction, AP-HP Sorbonne Université site Tenon, 4 rue de la Chine, 75020 Paris, France. Electronic address: jean-marie.antoine@aphp.fr.

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Classifications MeSH