Osteoporosis, known as the “silent disease,” often goes unnoticed until a person breaks a bone. Low bone mineral density (BMD) is one of the key signs of this condition. Rho, an AI algorithm developed by 16 Bit in Toronto, can analyze standard x-rays of the chest, spine, pelvis, knees, and wrists to spot signs of low BMD.
In a study shared at the RSNA conference, researchers used Rho to screen 1,142 patients aged 50 and older who came in for x-rays. The AI identified 653 patients (452 women and 201 men) with signs of low BMD.
Key Findings:
- 80% of radiologists included the Rho results in their reports.
- 67% of patients had not previously discussed osteoporosis or bone health with their doctor.
- Within six months, 19% of patients with positive Rho findings went for follow-up DEXA scans, the gold standard for diagnosing osteoporosis.
- Among those who had follow-up scans, 63 patients were diagnosed with moderate or high fracture risk.
Family doctors also found the AI tool helpful, with 78% saying it could improve patient care, and 74% willing to use Rho in their routine checkups.
The Rho AI tool helps doctors find patients at risk for osteoporosis early, giving them a chance to prevent fractures by starting treatment sooner. This tool could increase osteoporosis screening rates and improve patient outcomes.
Source: auntminnie
