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10/10/2023 MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care 10/10/2023 Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal 09/05/2023 CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII 05/05/2023 Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA) 07/02/2023 Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist 11/11/2022 Evidence-based statistical analysis and methods in biomedical research (SAMBR) checklists according to design features 10/08/2015 A call for transparent reporting to optimize the predictive value of preclinical research 05/12/2014 Reporting guidance for violence risk assessment predictive validity studies: the RAGEE Statement 29/11/2012 Strengthening the reporting of Genetic RIsk Prediction Studies: the GRIPS Statement

Blog archives

Latest guest blogger

New resource for research teams to improve the reporting of implementation studies

In this blog post, Dr Louise Hull, an implementation research lead, discusses the development of a new resource to help improve the reporting of implementation studies.