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Tackling bias in AI health datasets through the STANDING Together initiative.
Ganapathi, Shaswath; Palmer, Jo; Alderman, Joseph E; Calvert, Melanie; Espinoza, Cyrus; Gath, Jacqui; Ghassemi, Marzyeh; Heller, Katherine; Mckay, Francis; Karthikesalingam, Alan; Kuku, Stephanie; Mackintosh, Maxine; Manohar, Sinduja; Mateen, Bilal A; Matin, Rubeta; McCradden, Melissa; Oakden-Rayner, Lauren; Ordish, Johan; Pearson, Russell; Pfohl, Stephen R; Rostamzadeh, Negar; Sapey, Elizabeth; Sebire, Neil; Sounderajah, Viknesh; Summers, Charlotte; Treanor, Darren; Denniston, Alastair K; Liu, Xiaoxuan.
Afiliação
  • Ganapathi S; College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • Palmer J; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Alderman JE; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Calvert M; Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • Espinoza C; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK.
  • Gath J; Centre for Patient Reported Outcome Research, Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Ghassemi M; NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK.
  • Heller K; NIHR Surgical Reconstruction and Microbiology Research Centre, University of Birmingham, Birmingham, UK.
  • Mckay F; NIHR Applied Research Collaborative West Midlands University of Birmingham, Birmingham, UK.
  • Karthikesalingam A; Patient Partner, Birmingham, UK.
  • Kuku S; Patient Partner, Birmingham, UK.
  • Mackintosh M; Patient Partner, Sheffield, UK.
  • Manohar S; Department of Electrical Engineering and Computer Science; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Mateen BA; Google Research, Mountain View, California, USA.
  • Matin R; The Ethox Centre and the Wellcome Centre for Ethics and Humanities, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  • McCradden M; Google Research, London, UK.
  • Oakden-Rayner L; Institute of Women's Health, University College London, London, UK.
  • Ordish J; Hardian Health, London, UK.
  • Pearson R; Genomics England, London, UK.
  • Pfohl SR; Health Data Research, London, UK.
  • Rostamzadeh N; Institute of Health Informatics, University College London, London, UK.
  • Sapey E; The Wellcome Trust, London, UK.
  • Sebire N; Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Sounderajah V; Department of Bioethics, Hospital for Sick Children, Toronto, Ontario, Canada.
  • Summers C; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Treanor D; Australian Institute for Machine Learning, University of Adelaide, Adelaide, South Australia, Australia.
  • Denniston AK; Medicines and Healthcare Products Regulatory Agency, London, UK.
  • Liu X; Medicines and Healthcare Products Regulatory Agency, London, UK.
Nat Med ; 28(11): 2232-2233, 2022 11.
Article em En | MEDLINE | ID: mdl-36163296
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial Idioma: En Revista: Nat Med Assunto da revista: BIOLOGIA MOLECULAR / MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial Idioma: En Revista: Nat Med Assunto da revista: BIOLOGIA MOLECULAR / MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido