What this means
This study plans to test an AI tool that estimates biological age from patient health records. It has not reported results, so we do not yet know how well it works.
Plain-English summary written by an AI model from the registry listing.
- Status
- Recruiting
- Who can join
- Ages 0–100
- Where
- 4 sites
The science
- Registered title
- AI-Driven Prediction of Biological Age With EHR
- Trial ID
- NCT06791486 ↗
- Phase
- Not applicable
- Study type
- observational
- Conditions
- Biological Age
- What is tested
- AI-assisted predictive model
- Sponsor
- The Eye Hospital of Wenzhou Medical University
- Ages
- 0 Years to 100 Years
- Dates
- First posted Jan 24, 2025 · updated Apr 2, 2025
Registry summary
This is a multi-center, retrospective clinical study designed to evaluate the application and effectiveness of an AI-assisted predictive model for predicting biological age using electronic health records (EHR). The study will analyze various health data points, including medical history, laboratory results, and clinical observations, to estimate the biological age of patients. By comparing biological age with chronological age, the study aims to assess the accuracy of the model and its potential in identifying age-related health risks and improving patient care.
Sites (4)
- Nanfang Hospital, Guangzhou, Guangdong, China
- First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- The Eye Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China