Clinical Validation in AI for Healthcare: An Experiential Learning

Fecha de publicación:

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

  • Nabhani-Gebara S.
  • Zacharias L.
  • Elkhoury G.
  • Colantonio S.
  • Chouvarda I.

Grupos

Abstract

Abstract no disponible

Datos de la publicación

ISBN:
9783031899638

Trustworthy Ai In Cancer Imaging Research  Springer Science+Business Media

Tipo:
Capítulo de un Libro
Páginas:
267-282
Enlace a otro recurso:
www.scopus.com

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Keywords

  • Decision making; Decision support systems; Diagnosis; Diseases; Health care; Information use; Integration; Medical imaging; Regulatory compliance; AI4HI; Cancer imaging; Clinical decision support; Clinical validations; Experiential learning; FUTURE-artificial intelligence; Healthcare integration; Stakeholder engagement; Trustworthy artificial intelligence; Validation process; Artificial intelligence

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