New guidelines called TRIPOD+AI have been introduced to update the reporting standards for clinical prediction models, reflecting the increasing use of artificial intelligence (AI) in medical decision-making tools. These guidelines aim to improve transparency and accuracy in studies developing and evaluating AI prediction models, emphasizing trustworthiness, fairness, and the importance of reporting. Led by researchers from the University of Oxford and other institutions globally, TRIPOD+AI provides a 27-item checklist to help researchers, peer reviewers, editors, policymakers, and patients understand and evaluate the quality of AI-driven research. The goal is to ensure better reporting, reduce research waste, and enhance patient care outcomes.
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New guidelines reflect growing use of AI in health care research
