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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.
- 2026
- Warsaw, Poland
- Mentee presentation
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- WIMC
- No public assets
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Summary
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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.
Session context
- WIMC 2026
- 2026
- Warsaw, Poland
- Mentee presentation
Outcome
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Takeaway
Shows how supervised mentorship work can turn medical vision-language models into concrete radiology reporting tasks.
Topic map
radiologychest X-raymultimodal AIlanguage models
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