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Clinical Evaluation of Artificial Intelligence-Enabled Interventions.
Hogg, H D Jeffry; Martindale, Alexander P L; Liu, Xiaoxuan; Denniston, Alastair K.
Afiliación
  • Hogg HDJ; University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom.
  • Martindale APL; Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom.
  • Liu X; NIHR-Supported Incubator in AI & Digital Healthcare, Birmingham, United Kingdom.
  • Denniston AK; Brighton and Sussex Medical School, Brighton, United Kingdom.
Invest Ophthalmol Vis Sci ; 65(10): 10, 2024 Aug 01.
Article en En | MEDLINE | ID: mdl-39106058
ABSTRACT
Artificial intelligence (AI) health technologies are increasingly available for use in real-world care. This emerging opportunity is accompanied by a need for decision makers and practitioners across healthcare systems to evaluate the safety and effectiveness of these interventions against the needs of their own setting. To meet this need, high-quality evidence regarding AI-enabled interventions must be made available, and decision makers in varying roles and settings must be empowered to evaluate that evidence within the context in which they work. This article summarizes good practices across four stages of evidence generation for AI health technologies study design, study conduct, study reporting, and study appraisal.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial Límite: Humans Idioma: En Revista: Invest Ophthalmol Vis Sci Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial Límite: Humans Idioma: En Revista: Invest Ophthalmol Vis Sci Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos