In the era of rapidly advancing artificial intelligence, applications of AI in healthcare are opening unprecedented opportunities, from early diagnosis and risk prediction to patient management and treatment support. The development of foundation models and large language models (LLMs) is changing the way we leverage multimodal medical data and make clinical decisions with greater accuracy. These advances not only drive healthcare research forward but also expand the practical applications of AI in real-world healthcare systems.
The seminar “Modern Medical AI with Large-Scale Models” is a deep-dive session on the latest developments from Monash AIM for Health Lab, where Associate Professor Zongyuan Ge is conducting research focused on deep learning, evaluation methodologies, human–AI interaction, and end-to-end software–hardware systems for medical applications. Participants will have the opportunity to engage directly with pioneering research on AI for diagnosis, risk prediction, patient management, and treatment support, as well as learn how foundation models are applied across diverse clinical domains.
The seminar will be presented by Associate Professor Zongyuan Ge, Founding Director of the Monash Medical AI Group and AI Director at Monash AIM Lab. He leads a multidisciplinary research team comprising over 40 PhD students, 6 research fellows, and 6 lecturers and professors. He has published more than 250 papers in leading journals such as Nature Medicine, The Lancet Digital Health, The British Medical Journal, JAMA Neurology, Nature Nanotechnology, and Nature Communications, holds over 40 patents, and has received numerous prestigious international awards. His work has been recognized among the top 2% of highly cited researchers from 2021–2025, with over 17,000 citations and an H-index of 55.
During the seminar, Associate Professor Zongyuan Ge will present pioneering foundation models such as CARE (Comprehensive AI Retinal Expert), using over 230,000 color fundus photographs and scaling to 100 million images for accurate retinal analysis, and PanDerm, a dermatology foundation model published in Nature Medicine, integrating four complementary imaging techniques to enhance early-stage melanoma detection and improve diagnostic accuracy for both specialists and non-specialists. Additionally, the seminar will cover AI research in neurology, including applications for epilepsy management.
This seminar is particularly suitable for those interested in AI in healthcare, machine learning, multimodal medical data, foundation models, and LLMs, as well as anyone seeking to stay updated on advanced research directions and real-world applications in healthcare systems. It provides an opportunity for participants to understand how large-scale AI systems are designed, validated, and deployed in practice, while connecting research with clinical applications.
- Date: 08/06/2026
- Time: 14:00 – 15:00
- Format: VinUniversity HCMC Office, 20A Floor, Vincom Center Đồng Khởi, 72 Lê Thánh Tôn & 45A Lý Tự Trọng, District 1, Ho Chi Minh City
