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.
Session details
2026 / Warsaw, Poland
WIMC
1st place, Radiology session
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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.
Session context
WIMC 2026
2026 / Warsaw, Poland
Mentee presentation
Outcome
Recognition, result, and the talk's core takeaway.
Result
1st place, Radiology session
Recognition captured from the conference program and retained on the canonical talk page.
Takeaway
Uses radiographic aging as a clinically interpretable bridge between image-derived representation learning and mortality risk.
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Contact
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