Microsoft Health Futures - Microsoft Research: Publications

Publication

Closing the Performance Gap Between AI and Radiologists in Chest X-Ray Reporting

Harshita Sharma, Maxwell C. Reynolds, Valentina Salvatelli, Anne-Marie G. Sykes, Kelly K. Horst, Anton Schwaighofer, Maximilian Ilse, Olesya Melnichenko, Sam Bond-Taylor, Fernando Pérez-García, Vamshi K. Mugu, Alex Chan, Ceylan Colak, Shelby A. Swartz, Motassem Nashawaty, Austin J. Gonzalez, Heather A. Ouellette, B. S. Erdal, Beth A. Schueler, Maria T. Wetscherek, Noel Codella, Mohit Jain, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Stephanie Hyland, Panos Korfiatis, Ashish Khandelwal, Javier Alvarez-Valle

November 2025

Project

Publication

Identifying treatment response subgroups in observational time-to-event data

Vincent Jeanselme, Chang Ho Yoon, Fabian Falck, Brian D. M. Tom, Jessica Barrett

AHLI Machine Learning for Health (ML4H) Symposium | November 2025

Publication

SNRAware: Improved Deep Learning MRI Denoising with Signal-to-Noise Ratio Unit Training and G-factor Map Augmentation

Hui Xue, Sarah M. Hooper, Iain Pierce, Rhodri H. Davies, John Stairs, Joseph Naegele, A. Campbell-Washburn, Charlotte Manisty, James C. Moon, T. Treibel, Peter Kellman, Michael Hansen

Radiology: Artificial Intelligence | October 2025, Vol 7(6)

Project

Publication

Data Scaling Laws for Radiology Foundation Models

Maximilian Ilse, Harshita Sharma, Anton Schwaighofer, Sam Bond-Taylor, Fernando Pérez-García, Olesya Melnichenko, Anne-Marie G. Sykes, K. Horst, Ashish Khandelwal, Maxwell C. Reynolds, M. Wetscherek, Noel Codella, Javier Alvarez-Valle, Korfiatis Panagiotis, Valentina Salvatelli

September 2025

arXiv | September 2025

Publication

CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation

Alyssa Unell, Noel Codella, Sam Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Ruican Rachel Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P Lungren, Hoifung Poon

September 2025

arXiv | September 2025

Publication

Demo: Healthcare Agent Orchestrator (HAO) for Patient Summarization in Molecular Tumor Boards

Matthias Blondeel, Noel Codella, Sam Preston, Hao Qiu, Leonardo Schettini, Frank Tuan, Wen-wai Yim, Smitha Saligrama, Mert Oz, Shrey Jain, Matthew P Lungren, Thomas Osborne

September 2025

arXiv | September 2025

Publication

AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations

Shuhan Ding, Jingjing Fu, Yu Gu, Naiteek Sangani, Mu Wei, Paul Vozila, Nan Liu, Jiang Bian, Hoifung Poon

September 2025

arXiv | September 2025

Publication

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology

Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark Ames Pinnock, Maria Teodora Wetscherek, Cecily Morrison, Hannah Richardson (nee Murfet), Fernando Pérez-García, Stephanie Hyland, Shruthi Bannur, Daniel Coelho de Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit, Harshita Sharma, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya Nori, Stephen Harris, Joseph Jacob

ACM ToCHI | August 2025, Vol 32(2): pp. 1-61

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Publication

Generative Medical Event Models Improve with Scale

Shane Waxler, Paul Blazek, Davis White, Daniel Sneider, Kevin Chung, Mani Nagarathnam, Patrick Williams, Hank Voeller, Karen Wong, Matthew Swanhorst, Sheng Zhang, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon, Andrew Loza, Daniella Meeker, Seth Hain, Rahul Shah

August 2025

Publication

Exploring Scaling Laws for EHR Foundation Models

Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon

August 2025