Ethical Aspects of Artificial Intelligence in Radiation Oncology.

Journal: Seminars in radiation oncology
Published Date: Oct 1, 2022

Abstract

Radiation oncology is a field that heavily relies on new technology. Data science and artificial intelligence will have an important role in the entire radiotherapy workflow. A new paradigm of routine healthcare data reuse to automate treatments and provide decision support is emerging. This review will discuss the ethical aspects of the use of artificial intelligence (AI) in radiation oncology. More specifically, the review will discuss the evolution of work through the ages, as well as the impact AI will have on it. We will then explain why AI opens a new technical era for the field and we will conclude on the challenges in the years to come.

Authors

  • Lucien Lahmi
    Department of Radiation Oncology, Institut Curie, Paris, France.
  • Marie-France Mamzer
    Centre de Recherche des Cordeliers, INSERM, Sorbonne université, USPC, université Paris Descartes, université Paris Diderot, Équipe d'accueil ETRES, 75006 Paris, France. Electronic address: marie-france.mamzer@parisdescartes.fr.
  • Anita Burgun
    Hôpital Necker-Enfants malades, AP-HP, Paris, France.
  • Catherine Durdux
    Department of Radiation Oncology, Hôpital Européen Georges Pompidou, Paris, France.
  • Jean-Emmanuel Bibault
    Radiation Oncology Department, Georges Pompidou European Hospital, Assistance Publique - Hôpitaux de Paris, Paris Descartes University, Paris Sorbonne Cité, Paris, France; INSERM UMR 1138 Team 22: Information Sciences to support Personalized Medicine, Paris Descartes University, Sorbonne Paris Cité, Paris, France. Electronic address: jean-emmanuel.bibault@aphp.fr.

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