Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries. - Sahar Kazemzadeh; Jin Yu; Shahar Jamshy; Rory Pilgrim; Zaid Nabulsi; Christina Chen; Neeral Beladia; Charles Lau; Scott Mayer McKinney; Thad Hughes; Atilla P. Kiraly; Sreenivasa Raju Kalidindi; et al. (CoRR, 2021)

AI system for fetal ultrasound in low-resource settings. - Ryan G. Gomes; Bellington Vwalika; Chace Lee; Angelica Willis; Marcin Sieniek; Joan T. Price; Christina Chen; Margaret P. Kasaro; James A. Taylor 003; Elizabeth M. Stringer; Scott Mayer McKinney; Ntazana Sindano; et al. (CoRR, 2022)

Enabling faster and more reliable sonographic assessment of gestational age through machine learning. - Chace Lee; Angelica Willis; Christina Chen; Marcin Sieniek; Akib Uddin; Jonny Wong; Rory Pilgrim; Katherine Chou; Daniel Tse; Shravya Shetty; Ryan G. Gomes (CoRR, 2022)

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. - Shawn Xu; Lin Yang; Christopher Kelly; Marcin Sieniek; Timo Kohlberger; Martin Ma; Wei-Hung Weng; Attila Kiraly; Sahar Kazemzadeh; Zakkai Melamed; Jungyeon Park; Patricia Strachan; et al. (CoRR, 2023)

Advancing Multimodal Medical Capabilities of Gemini. - Lin Yang; Shawn Xu; Andrew Sellergren; Timo Kohlberger; Yuchen Zhou; Ira Ktena; Atilla P. Kiraly; Faruk Ahmed; Farhad Hormozdiari; Tiam Jaroensri; Eric Wang; Ellery Wulczyn; et al. (CoRR, 2024)

Health AI Developer Foundations. - Atilla P. Kiraly; Sebastien Baur; Kenneth Philbrick; Fereshteh Mahvar; Liron Yatziv; Tiffany Chen; Bram Sterling; Nick George; Fayaz Jamil; Jing Tang; Kai Bailey; Faruk Ahmed; et al. (CoRR, 2024)

TxGemma: Efficient and Agentic LLMs for Therapeutics. - Eric Wang; Samuel Schmidgall; Paul F. Jaeger; Fan Zhang; Rory Pilgrim; Yossi Matias; Joelle K. Barral; David J. Fleet; Shekoofeh Azizi (CoRR, 2025)

MedGemma Technical Report. - Andrew Sellergren; Sahar Kazemzadeh; Tiam Jaroensri; Atilla P. Kiraly; Madeleine Traverse; Timo Kohlberger; Shawn Xu; Fayaz Jamil; Cían Hughes; Charles Lau; Justin Chen; Fereshteh Mahvar; et al. (CoRR, 2025)