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 Accelerates Radiopharmaceuticals, Boosts Personalized Dosimetry in Cancer
Machine learning is driving advancements in radiopharmaceutical drug discovery and optimizing patient-specific dosimetry for precision cancer therapy.
•EurekAlert
Physicians Overly Trust Erroneous AI, Ignore Contradictory Evidence
Physicians tend to trust incorrect AI advice, even when evidence contradicts it, suggesting risks in clinical decision-making with AI tools.
•EurekAlert
Concerns Raised Over Unverified Datasets in AI Health Prediction Models
A new study finds widely used AI health prediction models are built on datasets with unverifiable origins, raising safety and validity concerns.