Kai Zhang

About

I am a postdoctoral scholar in the Department of Radiation Oncology at Stanford University, supervised by Prof. Xianjin Dai. I received my PhD in Computer Science from Lehigh University in 2026, where I was advised by Prof. Lichao Sun and developed trustworthy multimodal AI methods that integrate medical images and clinical text, including generalist biomedical foundation models. My research aims to bring AI into real-world clinical workflows and improve patient care, with current projects focused on medical image analysis and multimodal learning tailored to clinical needs.

Selected Publications All publications →

Generalist biomedical models

One vision-language model across many imaging modalities and tasks.

  • Nature Medicine2024

    A Generalist Vision–Language Foundation Model for Diverse Biomedical Tasks

    Kai Zhang, Rong Zhou, Eashan Adhikarla, …, Hongfang Liu, Lichao Sun

  • arXiv2026

    MedGPT-oss: Training a General-Purpose Vision-Language Model for Biomedicine

    Kai Zhang, Zhengqing Yuan, Cheng Peng, …, Lichao Sun, Yonghui Wu

  • J. Biomed. Inform.2025

    Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning

    Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun, Yonghui Wu

Agents and post-training for radiology

Agents that read chest X-rays step by step the way radiologists do, and training that rewards clinically correct reports.

  • MIDL2026

    RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows

    Kai Zhang, Corey D. Barrett, Jangwon Kim, Lichao Sun, Tara Taghavi, Krishnaram Kenthapadi

  • IJCNLP-AACL2025

    EditGRPO: Reinforcement Learning with Post-Rollout Edits for Clinically Accurate Chest X-ray Report GenerationOral

    Kai Zhang, Christopher Malon, Lichao Sun, Martin Renqiang Min

  • KDD2026

    MedJudge: Medical Multimodal Reward Modeling

    Yunhong He, Kai Zhang, Jiarong Qian, …, Jing Huang, Lichao Sun

Evaluating medical agents

Where general-purpose models hold up in real diagnosis, and where they break.

  • npj Digit. Med.2026

    The Complexity Paradox of Generalist AI Agents in Medicine: Exploring GPT-5 for Real-World Multimodal Medical Diagnosis

    Shaohui Zhang, Jiarong Qian, Kai Zhang, …, Lichao Sun, Jing Huang

  • IEEE TRPMS2026

    Evaluating GPT-4V for Multi-modal Medical Applications: A Comparative Study Using Open-source Datasets

    Zhiling Yan, Rong Zhou, Kai Zhang, …, Xiang Li, Lichao Sun

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