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Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group.
Sounderajah, Viknesh; Ashrafian, Hutan; Aggarwal, Ravi; De Fauw, Jeffrey; Denniston, Alastair K; Greaves, Felix; Karthikesalingam, Alan; King, Dominic; Liu, Xiaoxuan; Markar, Sheraz R; McInnes, Matthew D F; Panch, Trishan; Pearson-Stuttard, Jonathan; Ting, Daniel S W; Golub, Robert M; Moher, David; Bossuyt, Patrick M; Darzi, Ara.
Afiliación
  • Sounderajah V; Institute of Global Health Innovation, Imperial College London, London, UK.
  • Ashrafian H; Department of Surgery and Cancer, Imperial College London, London, UK.
  • Aggarwal R; Institute of Global Health Innovation, Imperial College London, London, UK. h.ashrafian@imperial.ac.uk.
  • De Fauw J; Department of Surgery and Cancer, Imperial College London, London, UK. h.ashrafian@imperial.ac.uk.
  • Denniston AK; Institute of Global Health Innovation, Imperial College London, London, UK.
  • Greaves F; Department of Surgery and Cancer, Imperial College London, London, UK.
  • Karthikesalingam A; DeepMind, London, UK.
  • King D; Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • Liu X; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Markar SR; Health Data Research UK, London, UK.
  • McInnes MDF; Public Health England, London, UK.
  • Panch T; Institute of Global Health Innovation, Imperial College London, London, UK.
  • Pearson-Stuttard J; Department of Surgery and Cancer, Imperial College London, London, UK.
  • Ting DSW; Institute of Global Health Innovation, Imperial College London, London, UK.
  • Golub RM; Department of Surgery and Cancer, Imperial College London, London, UK.
  • Moher D; Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • Bossuyt PM; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Darzi A; Health Data Research UK, London, UK.
Nat Med ; 26(6): 807-808, 2020 06.
Article en En | MEDLINE | ID: mdl-32514173
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Guías como Asunto / Técnicas y Procedimientos Diagnósticos / Informe de Investigación Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Guías como Asunto / Técnicas y Procedimientos Diagnósticos / Informe de Investigación Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido