AI for Healthcare

We develop AI systems for healthcare applications, with a focus on intelligent perception, reasoning, and decision support for robotic surgery and clinical workflows. Our research aims to make medical AI more capable, reliable, and aligned with clinical practice.

Featured Publications

TrajPred: Trajectory-Conditioned Joint Embedding Prediction for Surgical Instrument-Tissue Interaction Recognition in Vision-Language Models

Jiajun Cheng, Xiaofan Yu, Subarna Tripathi, et al.

IROS 2026 JEPA Understand Dynamics

Paper Code Project

SurgXBench: Explainable Vision-Language Model Benchmark for Surgery

Jiajun Cheng, Xianwu Zhao, Sainan Liu, et al.

WACV 2026 Surgical VLM Benchmark

Paper Code Project

Students

Jiajun Cheng

Collaborators

Sainan Liu

Intel

Subarna Tripathi

Intel

Xiaofan Yu

University of California, Merced

Ravi Prakash

Duke University

Patrick J. Codd, M.D.

Duke University

Jonathan Katz, M.D.

University of Miami

Publications