New AI model uses abdominal scans to assess fall risk
Researchers have developed an AI model that analyses abdominal imaging scans to help predict the risk of falls in adults, aiming to support early intervention and improve patient safety.
Scientists and clinicians have created an AI model that can analyse routine abdominal imaging, such as CT scans, to identify adults at increased risk of future falls.
By detecting subtle patterns in body composition and muscle quality that may be linked to frailty, the AI system shows promise in augmenting traditional clinical assessments of fall risk.
Falls are a leading cause of injury and disability among older adults, and predicting who is most at risk can be challenging with standard clinical measures alone.
Integrating AI-based analysis with existing imaging data could enable earlier interventions, targeted therapies and personalised care plans, potentially reducing hospitalisations and long-term complications.
Although further validation is needed before routine clinical adoption, this research highlights how AI applications in medical imaging can extend beyond primary diagnosis to support predictive and preventative healthcare strategies.
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