Researchers developed an AI model to measure chronic stress using adrenal gland volume on routine CT scans.
Key Details
- 1Researchers created a deep learning model to analyze adrenal gland volume from routine chest CT scans.
- 2The model links larger adrenal volume to chronic or severe stress.
- 3Algorithm was retrospectively tested on 2,842 CT scans from the Multi-Ethnic Study of Atherosclerosis.
- 4Results were validated with stress questionnaires and cortisol markers for objective and subjective comparison.
- 5The method allows use of existing imaging data for non-invasive chronic stress evaluation.
Why It Matters
This development demonstrates the power of AI to extract new, actionable biomarkers from routine radiology exams, potentially enabling large-scale, cost-effective risk assessments for chronic stress. It highlights how imaging AI can impact preventive care beyond traditional disease diagnosis.
Source
Radiology Business
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