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Enabling AI in Radiology: Evaluation of an AI Deployment Process.
Silsand, Line; Kannelønning, Mari; Severinsen, Gro-Hilde; Ellingsen, Gunnar.
Afiliación
  • Silsand L; The Arctic University of Norway, Norway.
  • Kannelønning M; Norwegian Centre for E-health Research, Norway.
  • Severinsen GH; Norwegian Centre for E-health Research, Norway.
  • Ellingsen G; The Arctic University of Norway, Norway.
Stud Health Technol Inform ; 316: 580-584, 2024 Aug 22.
Article en En | MEDLINE | ID: mdl-39176808
ABSTRACT
Artificial intelligence (AI) is expected to transform healthcare systems and make them more sustainable. Despite the increased availability of AI tools for disease detection, evidence of their impact on healthcare organisations and patient care remains limited. Drawing on previous research underscoring the need for comprehensive evaluations of real-world AI deployments, this paper explores the challenges and opportunities encountered while procuring and implementing AI solutions for radiology. The paper aims to contribute to a better understanding of the complexities surrounding AI deployments in real-world clinical settings through a process evaluation study.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: Noruega

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: Noruega
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