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WIMC 2026
Chest X-Ray-Predicted Age as a Biomarker for Mortality: Development and Validation of a Deep Learning Model
A mentee-presented deep learning project validating chest X-ray-predicted age as an imaging biomarker for mortality.
- April 2026
- Warsaw, Poland
- Mentee presentation
Awarded
Session details
- WIMC
- Student/presenter prize — Deya aldeen Al drabee: 1st place, Radiology session
- No public assets
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Summary
What the session covered and why it mattered.
This mentee-presented project developed and validated a deep learning model that estimates age from chest X-rays and evaluates the predicted age signal as a biomarker for mortality. The work framed imaging-derived age as a compact, interpretable marker of physiologic risk.
Uses radiographic aging as a clinically interpretable bridge between image-derived representation learning and mortality risk.
radiologychest X-raymortality predictiondeep learning
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