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
Related News
•Radiology Business
Radiologists Prefer Domain-Specific AI for CT Report Generation
Radiologists show a clear preference for domain-specific AI models in generating accurate and timely CT report impressions.
•AuntMinnie
Radiology Receives Declining Share of Industry Research Funding
Radiologists received only 1.1% of industry-funded research payments in 2024, with a continuing downward trend.
•AuntMinnie
GPT-4o AI Matches Radiologists in Follow-Up Imaging Recommendations
GPT-4o matched the performance of experienced radiologists and surpassed residents in recommending follow-up imaging from routine radiology reports.