Gary S. Collins

According to our database, Gary S. Collins authored at least 16 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Code Sharing In Prediction Model Research: A Scoping Review.

Thomas Sounack, Raffaele Giancotti, Catherine A. Gao, Lasai Barreñada, Hyeonhoon Lee, Hyung-Chul Lee, Leo Anthony Celi, Karel G. M. Moons, Gary S. Collins, Charlotta Lindvall, Tom J. Pollard

CoRR, April, 2026

2025

Code Sharing in Healthcare Research: A Practical Guide and Recommendations for Good Practice.

Lukas Hughes-Noehrer, Matthew J. Parkes, Andrew Stewart, Anthony J. Wilson, Gary S. Collins, Richard D. Riley, Maya Mathur, Matthew P. Fox, Nazrul Islam, Paul N. Zivich, Timothy J. Feeney

CoRR, October, 2025

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, Sara Khalid, Gary S. Collins

CoRR, June, 2025

Reporting guidelines for studies involving generative artificial intelligence applications: what do I use, and when?

Bright Huo, Gary S. Collins, Giovanni E. Cacciamani, Gordon Henry Guyatt

npj Digit. Medicine, 2025

Reporting guideline for chatbot health advice studies: The CHART statement.

Bright Huo, Gary S. Collins, David Chartash, Arun Thirunavukarasu, Annette Flanagin, Alfonso Iorio, Giovanni E. Cacciamani, Xi Chen, Nan Liu, Piyush Mathur, An-Wen Chan, Christine Laine, Daniela Pacella, Michael Berkwits, Stavros A. Antoniou, Jennifer C. Camaradou, Carolyn Canfield, Michael Mittelman, Timothy Feeney, Elizabeth Loder, Riaz Agha, Ashirbani Saha, Julio Mayol, Anthony Sunjaya, Hugh Harvey, Jeremy Y. Ng, Tyler McKechnie, Yung Lee, Nipun Verma, Gregor Stiglic, Melissa McCradden, Karim Ramji, Vanessa Boudreau, Monica Ortenzi, Joerg Meerpohl, Per Olav Vandvik, Thomas Agoritsas, Diana Samuel, Helen Frankish, Michael Anderson, Xiaomei Yao, Stacy Loeb, Cynthia Lokker, Xiaoxuan Liu, Eliseo Guallar, Gordon Henry Guyatt

Artif. Intell. Medicine, 2025

2024

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, Maarten van Smeden, Ewout W. Steyerberg

CoRR, 2024

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., August, 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, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.

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

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

Understanding metric-related pitfalls in image analysis validation.

Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein

CoRR, 2023

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

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, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger

CoRR, 2022

2019

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

2018

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, Richard Branson, Karel G. M. Moons, Gary S. Collins, John P. A. Ioannidis, Chris C. Holmes, Harry Hemingway

CoRR, 2018

2011

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