Mayo Clinic researchers demonstrate that AI analysis of abdominal CT scans can help predict fall risk in adults as early as middle age.
Key Details
- 1AI was applied to abdominal CT scans to assess muscle density, fat distribution, and bone quality.
- 2Muscle density, not muscle size, was identified as the strongest predictor of fall risk.
- 3Findings applied to adults aged 45 years and older, with associations also seen in middle age.
- 4The study was published in Mayo Clinic Proceedings and involved radiology bioinformatics experts.
- 5Maintaining abdominal muscle density may provide lasting functional benefits.
Why It Matters
This study highlights a nontraditional use of routine abdominal CT imaging and AI to proactively assess an important predictor of morbidity—fall risk—potentially enabling earlier interventions. It underscores the growing role of imaging AI in preventive health beyond traditional diagnostic applications.
Source
EurekAlert
Related News
•EurekAlert
AI Tool Predicts Risks for Cancer Patients After Heart Attack
A new AI-powered risk prediction model assists clinicians in treating cancer patients following a heart attack by combining oncology and cardiovascular data.
•EurekAlert
AI-Supported Mammography Reduces Advanced Breast Cancer in Landmark Swedish Trial
AI-supported mammography screening reduces advanced breast cancer rates and improves early detection, according to the largest randomized controlled trial to date.
•EurekAlert
Large Language Models Rival Physicians in Complex Lung Cancer Decisions
A real-world study reveals that large language models (LLMs) can match or exceed human physicians' performance in challenging lung cancer case decision-making, especially for rare cases.