Predicting Hyperkalemia in the ICU and Evaluation of Generalizability and Interpretability. - Gloria Hyun-Jung Kwak; Christina Chen; Lowell Ling; Erina Ghosh; Leo Anthony Celi; Pan Hui (CoRR, 2021)

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)

R2D: Learning Shadow Removal to Enhance Fine-Context Shadow Detection. - Jeya Maria Jose Valanarasu; Christina Chen; Vishal M. Patel (CoRR, 2021)

Disability prediction in multiple sclerosis using performance outcome measures and demographic data. - Subhrajit Roy; Diana Mincu; Lev Proleev; Negar Rostamzadeh; Chintan Ghate; Natalie Harris; Christina Chen; Jessica Schrouff; Nenad Tomasev; Fletcher Lee Hartsell; Katherine A. Heller (CHIL, 2022)

Machine Learning for Dynamically Predicting the Onset of Renal Replacement Therapy in Chronic Kidney Disease Patients Using Claims Data. - Daniel Lopez Martinez; Christina Chen; Ming-Jun Chen (AMAI@MICCAI, 2022)

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. - Jessica Schrouff; Natalie Harris; Sanmi Koyejo; Ibrahim M. Alabdulmohsin; Eva Schnider; Krista Opsahl-Ong; Alexander Brown; Subhrajit Roy; Diana Mincu; Christina Chen; Awa Dieng; Yuan Liu; et al. (NeurIPS, 2022)

Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? - Jessica Schrouff; Natalie Harris; Oluwasanmi Koyejo; Ibrahim Alabdulmohsin; Eva Schnider; Krista Opsahl-Ong; Alexander Brown; Subhrajit Roy; Diana Mincu; Christina Chen; Awa Dieng; Yuan Liu; et al. (CoRR, 2022)

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)

Boosting the interpretability of clinical risk scores with intervention predictions. - Eric Loreaux; Ke Yu; Jonas Kemp; Martin Seneviratne; Christina Chen; Subhrajit Roy; Ivan Protsyuk; Natalie Harris; Alexander D'Amour; Steve Yadlowsky; Mingjun Chen (CoRR, 2022)

Discovering novel systemic biomarkers in photos of the external eye. - Boris Babenko; Ilana Traynis; Christina Chen; Preeti Singh; Akib Uddin; Jorge Cuadros; Lauren P. Daskivich; April Y. Maa; Kim Ramasamy; Eugene Yu-Chuan Kang; Yossi Matias; Gregory S. Corrado; et al. (CoRR, 2022)

Machine learning for dynamically predicting the onset of renal replacement therapy in chronic kidney disease patients using claims data. - Daniel Lopez Martinez; Christina Chen; Mingjun Chen (CoRR, 2022)

Underspecification Presents Challenges for Credibility in Modern Machine Learning. - Alexander D'Amour; Katherine A. Heller; Dan Moldovan; Ben Adlam; Babak Alipanahi; Alex Beutel; Christina Chen; Jonathan Deaton; Jacob Eisenstein; Matthew D. Hoffman; Farhad Hormozdiari; Neil Houlsby; et al. (J. Mach. Learn. Res., 2022)

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. - Wei-Hung Weng; Sebastien Baur; Mayank Daswani; Christina Chen; Lauren Harrell; Sujay Kakarmath; Mariam Jabara; Babak Behsaz; Cory Y. McLean; Yossi Matias; Gregory S. Corrado; Shravya Shetty; et al. (CoRR, 2023)

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)

HeAR - Health Acoustic Representations. - Sebastien Baur; Zaid Nabulsi; Wei-Hung Weng; Jake Garrison; Louis Blankemeier; Sam Fishman; Christina Chen; Sujay Kakarmath; Minyoi Maimbolwa; Nsala Sanjase; Brian Shuma; Yossi Matias; et al. (CoRR, 2024)