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10/01/2025 The TRIPOD-LLM reporting guideline for studies using large language models 24/10/2024 REFORMS: Consensus-based Recommendations for Machine-learning-based Science 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) 05/04/2023 Recommendations for Reporting Machine Learning Analyses in Clinical Research 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 17/03/2022 Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework

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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.