article Open AccessTop 1% cited
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
BMJ Open · 2021 · Vol. 11(7) · pp. e048008–e048008
Gary S. Collins✉(Nuffield Orthopaedic Centre)Paula Dhiman(Nuffield Orthopaedic Centre)Constanza L. Andaur Navarro(University Medical Center Utrecht)Jie Ma(Nuffield Orthopaedic Centre)Lotty Hooft(University Medical Center Utrecht)Johannes B. Reitsma(University Medical Center Utrecht)Patrícia Logullo(Nuffield Orthopaedic Centre)Andrew L. Beam(Harvard University)Lily Peng(Google (United States))Ben Van Calster(Leiden University Medical Center)Maarten van Smeden(University Medical Center Utrecht)Richard D Riley(Keele University)Karel G.M. Moons(University Medical Center Utrecht)
Abstract
CRD42019140361 and CRD42019161764.
Artificial Intelligence in Healthcare and EducationAI in cancer detectionArtificial Intelligence in HealthcareTripod (photography)MedicineGuidelineArtificial intelligenceMachine learningComputer scienceEngineeringPathology
MeSH terms
Artificial IntelligenceHumansPrognosisResearch DesignBiasRisk AssessmentChecklist
Funding
- Cancer Research UK
- National Institute for Health and Care Research
- Department of Health and Social Care
- ZonMw
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- NIHR Oxford Biomedical Research Centre
Citations
748
FWCI
34.53
field-weighted impact
References
33
Percentile
100%
vs. same field & year
Citations per year
Cited by
References
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
Annals of Internal Medicine · 2015 · 5,044 citations
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement
British Journal of Cancer · 2015 · 3,343 citations
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement
Annals of Internal Medicine · 2015 · 2,750 citations
Guidance for Developers of Health Research Reporting Guidelines
PLoS Medicine · 2010 · 1,449 citations
Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker
Heart · 2012 · 872 citations
Avoidable Waste in the Production and Reporting of Research Evidence
Obstetrics and Gynecology · 2009 · 609 citations
PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
Annals of Internal Medicine · 2018 · 2,341 citations
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
Journal of Clinical Epidemiology · 2019 · 1,841 citations
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