Framework for the impact analysis and implementation of Clinical Prediction Rules (CPRs). - Emma Wallace; Susan M. Smith; Rafael Perera-Salazar; Paul Vaucher; Colin McCowan; Gary S. Collins; Jan Verbakel; Monica Lakhanpaul; Tom Fahey; et al. (BMC Medical Informatics Decis. Mak., 2011)

Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness. - Sebastian J. Vollmer; Bilal A. Mateen; Gergo Bohner; Franz J. Király; Rayid Ghani; Pall Jonsson; Sarah Cumbers; Adrian Jonas; Katherine S. L. McAllister; Puja Myles; David Granger; Mark Birse; et al. (CoRR, 2018)

Predictive analytics in health care: how can we know it works? - Ben Van Calster; Laure Wynants; Dirk Timmerman; Ewout W. Steyerberg; Gary S. Collins (J. Am. Medical Informatics Assoc., 2019)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Ethics methods are required as part of reporting guidelines for artificial intelligence in healthcare. - Viknesh Sounderajah; Melissa D. McCradden; Xiaoxuan Liu; Sherri Rose; Hutan Ashrafian; Gary S. Collins; James A. Anderson; Patrick M. Bossuyt; David Moher; Ara Darzi (Nat. Mach. Intell., 2022)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

Development of the ChatGPT, Generative Artificial Intelligence and Natural Large Language Models for Accountable Reporting and Use (CANGARU) Guidelines. - Giovanni E. Cacciamani; Michael B. Eppler; Conner Ganjavi; Asli Pekcan; Brett Biedermann; Gary S. Collins; Inderbir S. Gill (CoRR, 2023)

Bibliometric Analysis of Publisher and Journal Instructions to Authors on Generative-AI in Academic and Scientific Publishing. - Conner Ganjavi; Michael B. Eppler; Asli Pekcan; Brett Biedermann; Andre Abreu; Gary S. Collins; Inderbir S. Gill; Giovanni E. Cacciamani (CoRR, 2023)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. - Karim Lekadir; Aasa Feragen; Abdul Joseph Fofanah; Alejandro F. Frangi; Alena Buyx; Anais Emelie; Andrea Lara; Antonio R. Porras; An-Wen Chan; Arcadi Navarro; Ben Glocker; Benard Ohene Botwe; et al. (CoRR, 2023)

The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols. - Paula Dhiman; Rebecca Whittle; Ben Van Calster; Marzyeh Ghassemi; Xiaoxuan Liu; Melissa D. McCradden; Karel G. M. Moons; Richard D. Riley; Gary S. Collins (Nat. Mac. Intell., 2023)

Performance evaluation of predictive AI models to support medical decisions: Overview and guidance. - Ben Van Calster; Gary S. Collins; Andrew J. Vickers; Laure Wynants; Kathleen F. Kerr; Lasai Barreñada; Gaël Varoquaux; Karandeep Singh; Karel G. M. Moons; Tina Hernandez-Boussard; Dirk Timmerman; David J. Mclernon; et al. (CoRR, 2024)

Critical Appraisal of Fairness Metrics in Clinical Predictive AI. - João Matos; Ben Van Calster; Leo Anthony Celi; Paula Dhiman; Judy Wawira Gichoya; Richard D. Riley; Chris Russell 001; Sara Khalid; Gary S. Collins (CoRR, 2025)