First and corresponding author. With Eric J. Topol, introduces decision authority as a framework for evaluating and governing health AI according to how strongly a system can shape individual health trajectories.
DOI: 10.1038/s44360-026-00185-z
Gu, Yu, Fu, Jingjing, ... et al.
Nature Medicine
First and corresponding author. With Eric J. Topol and collaborators, led adversarial stress tests that reveal substantial gaps between benchmark scores and the robustness evidence required for health AI applications.
DOI: 10.1038/s41591-026-04501-8
Qianchu Liu, Sheng Zhang, ... Hoifung Poon
arXiv
Introduces UniRG, a multimodal reinforcement learning framework for clinically faithful medical imaging report generation that achieved the top overall position on the ReXrank benchmark at release.
Valanarasu, Jeya Maria Jose, Xu, Hanwen, ... et al.
Cell
Introduces GigaTIME, a multimodal AI framework trained on 40 million cells and applied to 14,256 patients to enable population-scale tumor microenvironment modeling across 24 cancer types.
DOI: 10.1016/j.cell.2025.11.016
Liu, Shengyuan, Jiang, Jia-Xuan, ... Yuan, Yixuan
arXiv arXiv:2607.10522
Introduces AMID, an autonomous multi-agent framework for auditable medical imaging model development across diverse modalities and prediction tasks.
Gu, Yu, Topol, Eric J.
Nature Medicine
Research Briefing accompanying the Nature Medicine study on robustness and readiness of frontier models in health AI applications.
DOI: 10.1038/s41591-026-04500-9
Chen, Qi, Ding, Shuhan, ... Fu, Jingjing
ICML
Uses frozen foundation variational autoencoders as a unified interface for scalable 3D CT reconstruction, augmentation, and generation.
Li, Jiachen, Hall, Amanda K., ... Horvitz, Eric
CHI
CHI 2026 Honorable Mention. Studies oncologists using general-purpose and task-specific multi-agent AI systems for tumor board case preparation.
Reuben Tan, Baolin Peng, ... Jianfeng Gao
arXiv
Introduces Argos, an agentic verifier for grounded multimodal reinforcement learning that improves reasoning, reduces reward hacking, and achieves state-of-the-art results across spatial, robotics, and embodied AI tasks.
Gu, Yu, Fu, Jingjing, ... et al.
arXiv arXiv:2509.18234
Ding, Shuhan, Fu, Jingjing, ... Poon, Hoifung
arXiv arXiv:2509.04819
Jin, Ying, Codella, Noel C, ... Hwang, Jenq-Neng
NeurIPS - The Second Workshop on GenAI for Health: Potential, Trust, and Policy Compliance
Zhao, Theodore, Lee, Ho Hin, ... et al.
CVPR 2025: Foundation Models for 3D Biomedical Image Segmentation
Zambrano Chaves, Juan Manuel, Huang, Shih-Cheng, ... et al.
Nature Communications
Liu, Qianchu, Zhang, Sheng, ... et al.
arXiv arXiv:2505.03981
Shows that text-only post-training can transfer reasoning across modalities and domains; X-Reasoner-Med achieved state-of-the-art results across multiple text and multimodal medical benchmarks.
Jin, Ying, Codella, Noel C, ... Hwang, Jenq-Neng
arXiv arXiv:x
Chaves, Juan Manuel Zambrano, Huang, Shih-Cheng, ... et al.
arXiv arXiv:x
Wong, Cliff, Preston, Sam, ... et al.
arXiv arXiv:2502.00943
Introduces UniMedAbstractor, a zero-shot framework for structuring real-world oncology data without attribute-specific rules or training labels.
Zhou, Wenxuan, Zhang, Sheng, ... Poon, Hoifung
ICLR
Gu, Yu, Yang, Jianwei, ... Poon, Hoifung
arXiv arXiv:2310.10765
Lee, Ho Hin*, Gu, Yu*, ... et al.
arXiv arXiv:2401.07654
Chaves, Juan Manuel Zambrano, Huang, Shih-Cheng, ... et al.
CoRR
Zhao, Theodore, Gu, Yu, ... et al.
arXiv arXiv:2405.12971
Xu, Hanwen, Usuyama, Naoto, ... et al.
Nature
Codella, Noel CF, Jin, Ying, ... et al.
arXiv arXiv:2410.06542
Zhao, Theodore*, Gu, Yu*, ... et al.
Nature Methods
Tinn, Robert, Cheng, Hao, ... Poon, Hoifung
Cell Press Patterns
Gu, Yu, Zhang, Sheng, ... et al.
arXiv arXiv:2307.06439
Blankemeier, Louis, Zhao, Theodore, ... Preston, J
ACL - Proceedings of the 5th Clinical Natural Language Processing Workshop
Preston, Sam, Wei, Mu, ... et al.
Cell Press Patterns
Wong, Cliff, Zhang, Sheng, ... et al.
Machine Learning for Healthcare Conference
Yu, Jifan, Wang, Xiaozhi, ... et al.
arXiv arXiv:2306.09296
Gu, Yu, Tinn, Robert, ... Poon, Hoifung
ACM Transactions on Computing for Healthcare
Best Paper of the Year 2023.
Blankemeier, Louis, Tinn, Robert, ... Preston, Sam
NeurIPS Workshop on Interactive Learning for Natural Language Processing
Introduces contextual span recommendation for more efficient biomedical text search and programmatic data labeling.
Gu, Yu, Tinn, Robert, ... Poon, Hoifung
ACM Transactions on Computing for Healthcare (HEALTH)
Chen*, Long, Gu*, Yu, ... Huang, Yang
Journal of the American Medical Informatics Association
Chen, Long, Fu, Wenbo, ... Huang, Yang
Journal of the American Medical Informatics Association
Gu, Y, Tinn, R, ... Poon, H
arXiv arXiv:2007.15779
Gu, Yu, Tinn, Robert, ... Poon, Hoifung
preprint
Chen*, Long, Gu*, Yu, ... Huang, Yang
Journal of the American Medical Informatics Association
Liu, Yang, Gu, Yu, ... Huang, Yang
Journal of biomedical informatics