Registration 

Keynote Speech 1       Session Chair: Anna Kobusinska

How to Know Earlier? Using Machine Learning to Identify the Risk of Disease Development - the Case of Glaucomatous Neuropathy

Cezary Mazurek, Poznan Supercomputing and Networking Center

Keynote Speech 2       Session Chair: Yung-jen (Jane) Hsu

Learning from Billions of Cells: Scaling AI for High-Resolution Pathology

Kun-Hsing Yu, Harvard Medical School

Lunch Break 

AI in Cardiology       Session Chair: Kun-Chi Yen

Distinguished Speech 3 

Artificial Intelligence–Driven Insights in Cardiac Electrophysiology

Chih-Min Liu, Taipei Veterans General Hospital

Self-Supervised Masked Autoencoders for High-Accuracy Left Ventricle Segmentation in Echocardiography

Sheng-Po Yuan et al., Chang Gung University

Short Paper Session       Session Chair: Ying-Feng Chang

Enhancing Data Efficiency in Medical Imaging via Multi-Stage Fine-Tuning of MAE Foundation Models

Fu-Chiang Chou et al., Chang Gung University

Associating Healthcare Teamwork with Cancer Patient Outcomes

Hsiao-Ying Lu et al., University of California, Davis

Border-Restricted PHI & Radiographs De-Identification with OCR Guided Masks and Conditional Diffusion Inpainting

Sanhita Pathak et al., IIT Delhi

Text-to-Tabular Generation with Large Language Models: Opportunities and Limits for Synthetic Healthcare Data

Margaux Törnqvist et al., Quinten Health

Development of an Ensemble Model and a Web-Based Platform for Prenatal Thalassemia Screening in Vietnam

Thanh Dat Nguyen et al., Chang Gung University