Back to talks
WIMC 2026
CheXGPT: A Multimodal Reasoning Language Model for Chest X-Ray Labelling and Report Generation
A mentee-presented multimodal reasoning model for chest X-ray labelling and report generation.
- April 2026
- Warsaw, Poland
- Mentee presentation
Session details
- WIMC
- No public assets
On this page
Summary
What the session covered and why it mattered.
This mentee-presented work introduced CheXGPT, a multimodal reasoning language model designed for chest X-ray labelling and report generation. The project connects image understanding, structured labels, and report-level language generation within a clinically recognizable radiology workflow.
Shows how supervised mentorship work can turn medical vision-language models into concrete radiology reporting tasks.
radiologychest X-raymultimodal AIlanguage models
Contact
Invite a session that makes clinical AI usable and legible.
For talks, workshops, teaching sessions, or collaboration around clinical AI communication, email is the simplest route.
On this page