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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 02/10/2020 Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council 02/10/2020 BIAS: Transparent reporting of biomedical image analysis challenges 02/10/2020 Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist 08/09/2015 Preferred reporting items for studies mapping onto preference-based outcome measures: The MAPS statement 29/11/2012 Strengthening the reporting of Genetic RIsk Prediction Studies: the GRIPS Statement

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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.