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1st place, Radiology session
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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.
- 2026
- Warsaw, Poland
- Mentee presentation
Awarded
Session details
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- WIMC
- 1st place, Radiology session
- No public assets
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Summary
What the session covered and why it mattered.
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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.
Session context
- WIMC 2026
- 2026
- Warsaw, Poland
- Mentee presentation
Outcome
Recognition, result, and the talk's core takeaway.
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Takeaway
Uses radiographic aging as a clinically interpretable bridge between image-derived representation learning and mortality risk.
Topic map
radiologychest X-raymortality predictiondeep learning
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