# AI-Powered Chronic Stress Tools Researchers Focus on Identifying Early Signs of Chronic Stress By Kalin Ned | Published 2025-12-01 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/chronic-stress References: [rsna.org](https://www.rsna.org/media/press/2025/2625)  A research team led by Elena Ghotbi, M.D.— a postdoctoral research fellow at [Johns Hopkins University School of Medicine](https://www.trendhunter.com/trends/large-medical-model) in Baltimore, Maryland — has developed an artificial intelligence tool capable of identifying a potential biological indicator of chronic stress through the analysis of standard medical imaging. The innovation was presented at the annual meeting of the [Radiological Society of North America](https://www.trendhunter.com/trends/mobile-xray-unit) ([RSNA](https://www.trendhunter.com/trends/medical-imaging-systems)). This method applies a deep learning algorithm to retrospectively examine common chest CT scans, measuring the size of the adrenal glands to calculate an Adrenal Volume Index (AVI). The study, which utilized a large existing dataset that combined imaging with psychological surveys and physiological measurements, established correlations between a higher AVI and elevated cortisol levels, greater allostatic load, and increased scores on stress questionnaires. Significantly, the research also linked increases in this index to a heightened long-term risk of serious health events, specifically heart failure and mortality, over a follow-up period spanning up to a decade. Image Credit: RSNA ## Trend Insights (Trend Hunter) - Score: 4.8/10 - Popularity: 37% | Activity: 50% | Freshness: 56% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai) ## Key Themes ### Key Themes Behind This Trend - **AI-driven Health Diagnostics:** AI tools analyzing standard medical imaging to identify biological indicators of chronic stress represent a leap in non-invasive diagnostics. - **Predictive Health Monitoring:** Utilizing AI to predict long-term health risks through indicators like the Adrenal Volume Index offers potential for preemptive healthcare strategies. - **Integrative Data Analysis:** Combining imaging data with psychological and physiological datasets allows for a comprehensive view of patient health, paving the way for personalized treatment approaches. ### Where This Applies - **Medical Imaging:** Innovations in analyzing CT scans with AI can transform the way chronic stress is diagnosed and managed within medical imaging. - **Digital Health Technology:** The integration of AI tools into health monitoring systems is revolutionizing how chronic conditions are identified and managed, creating new market opportunities in the digital health sphere. - **Healthcare Predictive Analytics:** Harnessing advanced analytics for early detection of health conditions offers vast potential within predictive healthcare solutions. ## Related on Trend Hunter - [Smartphone-Powered AI Body Scans](https://www.trendhunter.com/trends/ai-body-scan.md) - [Stress Tracking App Features](https://www.trendhunter.com/trends/stress-score.md) - [AI-Enhanced Ultrasound Technologies](https://www.trendhunter.com/trends/butterfly-network.md) - [Personalized AI Wellness Platforms](https://www.trendhunter.com/trends/ab-chopra-epigenetics.md) - [Digital Mental Health Apps](https://www.trendhunter.com/trends/therapyai.md) - [AI Mental Wellness Tools](https://www.trendhunter.com/trends/resets-ai-journalism.md) - [AI Mental Support Tools](https://www.trendhunter.com/trends/reassurance-ai.md) - [AI Mental Trackers](https://www.trendhunter.com/trends/ai-mood-journal.md) - [AI Mental Support](https://www.trendhunter.com/trends/calmrioai.md)