AI for Trauma & Emergency Care
Deep learning that helps clinicians
care for the injured.
We are a clinician-led research lab at Linkou Chang Gung Memorial Hospital, building and validating deep learning systems for trauma imaging, emergency care, and clinical decision support — from algorithm development to the resuscitation bay.
Research themes
All research →Deep Learning for Trauma Radiographs
Physician-level detection of fractures and traumatic findings on plain radiographs — from PelviXNet for pelvic X-rays to rib, clavicle, and ankle …
AI for Trauma CT
From single-organ injury detection to an AI-based computer-aided diagnosis system for whole-body trauma CT, supported by NSTC funding and …
Human–AI Collaboration & Clinical Deployment
How should AI assist clinicians? We study different levels of AI support in clinical image interpretation and build human-algorithm integration …
AI in Education & Trauma Data Science
Using AI to train the next generation of clinicians, and mining trauma registries and clinical databases — from injury epidemiology to massive …
Selected publications
Full list →- 2025
- 2024
- 2021
- 2019