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How do the uses of Artificial Intelligence tools increase the radiologists’ abilities?
[Comment les usages des outils d’Intelligence Artificielle augmentent-ils la capacité d’agir des radiologues ?]

Author

Listed:
  • Joël Perez-Torrents

    (i3-CRG - Centre de recherche en gestion i3 - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • E. Minvielle

    (i3-CRG - Centre de recherche en gestion i3 - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

Abstract

The increasing use of Artificial Intelligence (AI) tools in healthcare, especially in radiology, raises pivotal questions about enhancing the skills of highly specialized professionals. Our study delves into two theoretical frameworks: "interrogation practices" and the conformation/exploration model. Drawing from 81 hours of observation (utilizing the shadowing method) and 9 interviews conducted in two healthcare facilities using AI tools for breast cancer diagnosis, we find that the collaboration between radiologists and AI tools primarily reinforces their existing capabilities (conformation) rather than fostering new ones (exploration). These findings underscore the necessity for an enhanced dialogue between AI tool designers and domain experts to promote exploration-oriented interrogation practices, thereby increasing professional capabilities.

Suggested Citation

  • Joël Perez-Torrents & E. Minvielle, 2023. "How do the uses of Artificial Intelligence tools increase the radiologists’ abilities? [Comment les usages des outils d’Intelligence Artificielle augmentent-ils la capacité d’agir des radiologues ?," Post-Print hal-04527369, HAL.
    • Handle: RePEc:hal:journl:hal-04527369
    DOI: 10.54695/jdds.041.3.0185
    as

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