CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. - Jeremy Irvin; Pranav Rajpurkar; Michael Ko; Yifan Yu 005; Silviana Ciurea-Ilcus; Christopher Chute; Henrik Marklund; Behzad Haghgoo; Robyn L. Ball; Katie S. Shpanskaya; Jayne Seekins; David A. Mong; et al. (AAAI, 2019)

Automatic Extraction of Skeletal Maturity from Whole Body Pediatric Scoliosis X-rays Using Regional Proposal and Compound Scaling Convolutional Neural Networks. - Audrey Ha; John Vorhies; Andrew Campion; Charles X. Fang; Michael Fadell II; Steve Dou; Safwan Halabi; David B. Larson; Emily Wang; YongJin Lee; Joanna Langner; Japsimran Kaur; et al. (BIBM, 2020)

Regulating radiology AI medical devices that evolve in their lifecycle. - Camila González; Moritz Fuchs; Daniel Pinto dos Santos; Philipp Matthies; Manuel Trenz; Maximilian Grüning; Akshay Chaudhari; David B. Larson; Ahmed E. Othman; Moon Kim 002; Felix Nensa; Anirban Mukhopadhyay 003 (CoRR, 2024)

Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM). - Zhongnan Fang; Andrew Johnston; Lina Cheuy; Hye Sun Na; Magdalini Paschali; Camila González; Bonnie A. Armstrong; Arogya Koirala; Derrick Laurel; Andrew Campion; Michael Iv; Akshay S. Chaudhari; et al. (CoRR, 2025)

Expert-level validation of AI-generated medical text with scalable language models. - Asad Aali; Vasiliki Bikia; Maya Varma; Nicole Chiou; Sophie Ostmeier; Arnav Singhvi; Magdalini Paschali; Ashwin Kumar; Andrew Johnston; Karimar Amador-Martinez; Eduardo Juan Perez Guerrero; Paola Naovi Cruz Rivera; et al. (CoRR, 2025)