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Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines.
Martindale, Alexander P L; Ng, Benjamin; Ngai, Victoria; Kale, Aditya U; Ferrante di Ruffano, Lavinia; Golub, Robert M; Collins, Gary S; Moher, David; McCradden, Melissa D; Oakden-Rayner, Lauren; Rivera, Samantha Cruz; Calvert, Melanie; Kelly, Christopher J; Lee, Cecilia S; Yau, Christopher; Chan, An-Wen; Keane, Pearse A; Beam, Andrew L; Denniston, Alastair K; Liu, Xiaoxuan.
Afiliação
  • Martindale APL; Brighton and Sussex Medical School, Brighton, UK.
  • Ng B; Birmingham and Midland Eye Centre, Sandwell and West Birmingham NHS Trust, Birmingham, UK.
  • Ngai V; Christ Church, University of Oxford, Oxford, UK.
  • Kale AU; University College London Medical School, London, UK.
  • Ferrante di Ruffano L; Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
  • Golub RM; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Collins GS; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK.
  • Moher D; York Health Economics Consortium, University of York, York, UK.
  • McCradden MD; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Oakden-Rayner L; Centre for Statistics in Medicine//UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
  • Rivera SC; Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottowa, ON, Canada.
  • Calvert M; Department of Bioethics, The Hospital for Sick Children, Toronto, ON, Canada.
  • Kelly CJ; Genetics & Genome Biology Research Program, Peter Gilgan Centre for Research & Learning, Toronto, ON, Canada.
  • Lee CS; Division of Clinical and Public Health, Dalla Lana School of Public Health, Toronto, ON, Canada.
  • Yau C; Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia.
  • Chan AW; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK.
  • Keane PA; Centre for Patient Reported Outcomes Research (CPROR), Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • Beam AL; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK.
  • Denniston AK; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK.
  • Liu X; Centre for Patient Reported Outcomes Research (CPROR), Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Nat Commun ; 15(1): 1619, 2024 Feb 22.
Article em En | MEDLINE | ID: mdl-38388497
ABSTRACT
The Consolidated Standards of Reporting Trials extension for Artificial Intelligence interventions (CONSORT-AI) was published in September 2020. Since its publication, several randomised controlled trials (RCTs) of AI interventions have been published but their completeness and transparency of reporting is unknown. This systematic review assesses the completeness of reporting of AI RCTs following publication of CONSORT-AI and provides a comprehensive summary of RCTs published in recent years. 65 RCTs were identified, mostly conducted in China (37%) and USA (18%). Median concordance with CONSORT-AI reporting was 90% (IQR 77-94%), although only 10 RCTs explicitly reported its use. Several items were consistently under-reported, including algorithm version, accessibility of the AI intervention or code, and references to a study protocol. Only 3 of 52 included journals explicitly endorsed or mandated CONSORT-AI. Despite a generally high concordance amongst recent AI RCTs, some AI-specific considerations remain systematically poorly reported. Further encouragement of CONSORT-AI adoption by journals and funders may enable more complete adoption of the full CONSORT-AI guidelines.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial País/Região como assunto: Asia Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial País/Região como assunto: Asia Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido