Vision-based AI for Digital Health: From Pixels to Practics

The workshop aims to unite researchers and practitioners at the intersection of vision-based AI and large language models (LLMs) to advance digital health innovation. By showcasing deep‑learning applications on high‑resolution imaging modalities (e.g., MRI, CT, retinal photography), we’ll explore how early disease detection and automated image review can boost diagnostic accuracy and streamline clinical workflows. We’ll also delve into emerging “Vision + LLM” systems that fuse visual understanding with natural‑language capabilities for automated report generation, intelligent literature retrieval, and interactive decision support. Through presentations and discussions, participants will identify challenges, exchange best practices, and chart pathways toward more personalized, data‑driven care.