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The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

Viknesh Sounderajah, Ahmad Guni, Xiaoxuan Liu, Gary S. Collins, Alan Karthikesalingam, Sheraz R. Markar, Robert M. Golub, Alastair K. Denniston, Shravya Shetty, David Moher, Patrick M. Bossuyt, Ara Darzi, Hutan Ashrafian, Amish Acharya, Bilal A. Mateen, Christopher Kelly, Daniel Ting, Darren Treanor, Dominic King, Felix Greaves, Hugh Harvey, Jeffrey De Fauw, Jérémie F. Cohen, Jonathan Godwin, Jonathan Pearson‐Stuttard, Karel G.M. Moons, Leanne Harling, Lena Maier‐Hein, Lotty Hooft, Matthew D. F. McInnes, Nader Rifai, Nenad Tomašev, Pasha Normahani, Penny Whiting, Ravi Aggarwal, Sebastian J. Vollmer, Sheraz R. Markar, Trishan Panch, STARD-AI Consensus Group, Ben Glocker, David Taylor, David Moher, Diana Samuel, Johan Ordish, Karandeep Singh, Leo Anthony Celi, Patrick M. Bossuyt, Sherri Rose, Suchi Saria

2025Nature Medicine136 citationsDOIOpen Access PDF

Topics & Concepts

ChecklistGeneralizability theoryDiagnostic accuracyGuidelineTest (biology)Delphi methodComputer scienceMedical physicsDelphiProcess (computing)Artificial intelligenceMEDLINEData miningSet (abstract data type)Statement (logic)MedicineTest setDiagnostic testBenchmarkingKey (lock)Data scienceGlossaryMachine learningPsychologyApplications of artificial intelligenceArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingAutopsy Techniques and Outcomes
The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence | Litcius