Jianing Qiu: Medical artificial intelligence - foundation models, AI agents & human-AI collaboration

Talk Title:
Medical Artificial Intelligence: From Foundation Models, AI Agents, to Human-AI
Collaboration

Abstract:
The landscape of medical AI is fast evolving. The past two years have seen a surge in
the development of medical foundation models and the rise of AI agents. While their
generalist intelligence brings new promise, these AI systems also introduce new risks
and challenges. In this talk, I will first introduce VisionFM, a multimodal multitask
foundation model for human vision built on computer vision techniques. VisionFM was
thoroughly examined on its ability to diagnose eye diseases, provide prognoses, and
estimate systemic health by using the eye as a window into the body. I will then discuss
agentic AI systems for medicine, in particular, multi-agent systems for solving complex
diseases. Just as human doctors can make misdiagnoses, so can AI on its own. Finally,
I will share our latest findings on human-AI co-diagnosis. Our research reinforces the
value of human-AI collaboration and suggests that future studies should focus on how
generative medical AI should be integrated and used to achieve maximum clinical
effectiveness.

Short biography:
Dr. Jianing Qiu is an Assistant Professor of Personalized Medicine at MBZUAI. He
received his Ph.D. from Imperial College London, UK, in 2023, following a M.Sc. in
Computing Science (Distinction) also from Imperial College London. During his Ph.D.,
he was affiliated with the Hamlyn Centre for Robotic Surgery, Institute of Global Health
Innovation, and had an internship at Tencent. He did his post-doctoral training in the
Department of Biomedical Engineering, The Chinese University of Hong Kong from
2023 to 2025. His current research interests include medical foundation models and
agentic AI systems. He has served as a guest editor for IEEE Journal of Biomedical and
Health Informatics and Frontiers in Digital Health. He was a key organizer of ICRA
2024, ECCV 2024, CVPR 2025, and MICCAI 2025 workshops on wearable intelligence,
embodied AI agents, and agentic AI for medicine. His work has been published in
leading journals such as NEJM AI and Nature Machine Intelligence, and covered by
major media outlets such as South China Morning Post.