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Intelligence Artificielle et Santé

Author

Listed:
  • Jean-François Penciolelli

    (Gfi Informatique)

  • Julian Rioche

    (UA - Université d'Angers, Gfi Informatique)

Abstract

Cet article présente les principales applications de l'intelligence artificielle dans le domaine de la santé ainsi que les points de vigilance associés à son développement. Le recours à l'apprentissage automatique, à l'apprentissage profond et à l'exploitation de données massives ouvre de nouvelles perspectives en matière de prévention, de diagnostic, de recherche et de prise en charge des patients. Ces technologies peuvent notamment contribuer à accélérer certaines tâches, à améliorer l'aide au diagnostic et à réduire certains coûts. Leur diffusion soulève cependant des enjeux économiques, organisationnels, éthiques et sécuritaires. L'article souligne ainsi la nécessité d'accompagner le développement de l'intelligence artificielle par des expérimentations permettant d'en évaluer les effets et de limiter les risques potentiels. Dans le domaine de la santé, l'intelligence artificielle est envisagée comme un outil susceptible d'accompagner les professionnels plutôt que de se substituer à la dimension humaine de la relation de soin.

Suggested Citation

  • Jean-François Penciolelli & Julian Rioche, 2017. "Intelligence Artificielle et Santé," Post-Print hal-05733471, HAL.
    • Handle: RePEc:hal:journl:hal-05733471
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