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Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol.
Sounderajah, Viknesh; Ashrafian, Hutan; Golub, Robert M; Shetty, Shravya; De Fauw, Jeffrey; Hooft, Lotty; Moons, Karel; Collins, Gary; Moher, David; Bossuyt, Patrick M; Darzi, Ara; Karthikesalingam, Alan; Denniston, Alastair K; Mateen, Bilal Akhter; Ting, Daniel; Treanor, Darren; King, Dominic; Greaves, Felix; Godwin, Jonathan; Pearson-Stuttard, Jonathan; Harling, Leanne; McInnes, Matthew; Rifai, Nader; Tomasev, Nenad; Normahani, Pasha; Whiting, Penny; Aggarwal, Ravi; Vollmer, Sebastian; Markar, Sheraz R; Panch, Trishan; Liu, Xiaoxuan.
Afiliação
  • Sounderajah V; Department of Surgery and Cancer, Imperial College London, Paddington, UK.
  • Ashrafian H; Institute of Global Health Innovation, Imperial College London, London, UK.
  • Golub RM; Department of Surgery and Cancer, Imperial College London, Paddington, UK hutan@imperial.ac.uk.
  • Shetty S; Institute of Global Health Innovation, Imperial College London, London, UK.
  • De Fauw J; Journal of the American Medical Association, Chicago, Illinois, USA.
  • Hooft L; Google Health, Pal Alto, California, USA.
  • Moons K; DeepMind Technologies Ltd, London, UK.
  • Collins G; Cochrane Netherlands, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands.
  • Moher D; Department of Epidemiology, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands.
  • Bossuyt PM; Cochrane Netherlands, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands.
  • Darzi A; Department of Epidemiology, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands.
  • Karthikesalingam A; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
  • Denniston AK; Centre for Journalology, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
  • Mateen BA; Department of Epidemiology and Data Science, Amsterdam University Medical Centres, Duivendrecht, The Netherlands.
  • Ting D; Department of Surgery and Cancer, Imperial College London, Paddington, UK.
  • Treanor D; Institute of Global Health Innovation, Imperial College London, London, UK.
  • King D; Google Health, London, UK.
  • Greaves F; Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • Godwin J; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Pearson-Stuttard J; Health Data Research UK, London, UK.
  • Harling L; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK.
  • McInnes M; The Alan Turing Institute, London, UK.
  • Rifai N; Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
  • Tomasev N; University of Leeds, Leeds, UK.
  • Normahani P; Optum, Paddington, London, UK.
  • Whiting P; Department of Primary Care and Public Health, Imperial College London, London, UK.
  • Aggarwal R; DeepMind Technologies Ltd, London, UK.
  • Vollmer S; School of Public Health, Imperial College London, London, UK.
  • Markar SR; Department of Surgery and Cancer, Imperial College London, Paddington, UK.
  • Panch T; Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada.
  • Liu X; Harvard Medical School, Boston, Massachusetts, USA.
BMJ Open ; 11(6): e047709, 2021 06 28.
Article em En | MEDLINE | ID: mdl-34183345
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Testes Diagnósticos de Rotina Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Qualitative_research Aspecto: Ethics Limite: Humans País/Região como assunto: Europa Idioma: En Revista: BMJ Open Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Testes Diagnósticos de Rotina Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Qualitative_research Aspecto: Ethics Limite: Humans País/Região como assunto: Europa Idioma: En Revista: BMJ Open Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido