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Ethical Aspects of Artificial Intelligence in Radiation Oncology.
Lahmi, Lucien; Mamzer, Marie-France; Burgun, Anita; Durdux, Catherine; Bibault, Jean-Emmanuel.
Afiliación
  • Lahmi L; Department of Radiation Oncology, Institut Curie, Paris, France.
  • Mamzer MF; Cordeliers Research Centre, INSERM, Sorbonne University, USPC, University Paris Descartes, University Paris Diderot, ETRES Host Team, Paris, France.
  • Burgun A; INSERM UMR1138, Centre de Recherche des Cordeliers, Paris, France.
  • Durdux C; Department of Radiation Oncology, Hôpital Européen Georges Pompidou, Paris, France.
  • Bibault JE; INSERM UMR1138, Centre de Recherche des Cordeliers, Paris, France; Department of Radiation Oncology, Hôpital Européen Georges Pompidou, Paris, France. Electronic address: jean-emmanuel.bibault@aphp.fr.
Semin Radiat Oncol ; 32(4): 442-448, 2022 10.
Article en En | MEDLINE | ID: mdl-36202446
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Oncología por Radiación Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Semin Radiat Oncol Asunto de la revista: NEOPLASIAS / RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Oncología por Radiación Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Semin Radiat Oncol Asunto de la revista: NEOPLASIAS / RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Francia