Accuracy of a Vision-Language Model on Challenging Medical Cases. - Thomas A. Buckley; James A. Diao; Adam Rodman; Arjun K. Manrai (CoRR, 2023)

Superhuman performance of a large language model on the reasoning tasks of a physician. - Peter G. Brodeur; Thomas A. Buckley; Zahir Kanjee; Ethan Goh; Evelyn Bin Ling; Priyank Jain; Stephanie Cabral; Raja-Elie Abdulnour; Adrian Haimovich; Jason A. Freed; Andrew Olson; Daniel J. Morgan; et al. (CoRR, 2024)

Towards Conversational AI for Disease Management. - Anil Palepu; Valentin Liévin; Wei-Hung Weng; Khaled Saab 003; David Stutz; Yong Cheng; Kavita Kulkarni; S. Sara Mahdavi; Joelle K. Barral; Dale R. Webster; Katherine Chou; Avinatan Hassidim; et al. (CoRR, 2025)

BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text. - Jiageng Wu; Bowen Gu; Ren Zhou; Kevin Xie; Douglas Snyder; Yixing Jiang; Valentina Carducci; Richard Wyss; Rishi J. Desai; Emily Alsentzer; Leo Anthony Celi; Adam Rodman; et al. (CoRR, 2025)

Advancing Conversational Diagnostic AI with Multimodal Reasoning. - Khaled Saab 003; Jan Freyberg; Chunjong Park; Tim Strother; Yong Cheng; Wei-Hung Weng; David G. T. Barrett; David Stutz; Nenad Tomasev; Anil Palepu; Valentin Liévin; Yash Sharma; et al. (CoRR, 2025)

One Patient, Many Contexts: Scaling Medical AI Through Contextual Intelligence. - Michelle M. Li; Ben Y. Reis; Adam Rodman; Tianxi Cai; Noa Dagan; Ran D. Balicer; Joseph Loscalzo; Isaac S. Kohane; Marinka Zitnik (CoRR, 2025)

Towards physician-centered oversight of conversational diagnostic AI. - Elahe Vedadi; David G. T. Barrett; Natalie Harris; Ellery Wulczyn; Shashir Reddy; Roma Ruparel; Mike Schaekermann; Tim Strother; Ryutaro Tanno; Yash Sharma; Jihyeon Lee; Cían Hughes; et al. (CoRR, 2025)