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Deep Learning AI Model Identifies First-of-Its-Kind Biomarker of Chronic Stress
The Adrenal Volume Index, derived from chest CT scans of 2,842 adults, correlates with stress markers and predicts cardiovascular risks and mortality, researchers report.
- On Nov. 25, 2025, Elena Ghotbi, M.D., and colleagues at Johns Hopkins University announced that a deep-learning AI model identified the first imaging biomarker of chronic stress, with findings to be presented next week at the Radiological Society of North America.
- Because single cortisol tests are limited, adrenal volume offers a biological barometer of chronic stress, as `For over three decades, we've known that chronic stress can wear down the body across multiple systems`, said Teresa E. Seeman, Ph.D.
- Applying the AI model to the cohort, the team analyzed 2,842 participants from the Multi-Ethnic Study of Atherosclerosis, with a mean age of 69.3, using adrenal gland segmentation and cortisol data.
- Higher Adrenal Volume Index correlated with greater circulating and peak cortisol and allostatic load, and was linked to higher left ventricular mass index; each 1 cm²/m² increase raised heart failure and mortality risk.
- Because tens of millions of chest CTs are done annually in the United States, the biomarker offers large-scale risk stratification with up to 10-year follow-up, guiding preventive care, researchers said.
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Leaning Left4Leaning Right5Center10Last UpdatedBias Distribution53% Center
Bias Distribution
- 53% of the sources are Center
53% Center
L 21%
C 53%
R 26%
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