Nanox Announces AI Software Increases Identification of Patients with Vertebral Compression Fractures, an early sign of Osteoporosis, Up to Six-Fold
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Tuesday, March 12, 2024
Syndrome, Health, National Health Service, ROI, Congress, LTD, Rheumatology, Bone disease, Data analysis, Risk, Patient, Fracture, VCF, NHS, Abdomen, Hospital, Research, AI, University, Systematic review, Treatment, Spine, FLS, Family, FDA, Vertebral compression fracture, University of Oxford, Medical device
PETACH TIKVA, Israel, March 12, 2024 (GLOBE NEWSWIRE) -- NANO-X IMAGING LTD ("Nanox" or the "Company," Nasdaq: NNOX), an innovative medical imaging technology company, and its deep-learning medical imaging analytics subsidiary, Nanox AI Ltd. (Nanox.AI), today announced that early findings from the AI-enabled Detection of OsteoPorosis for Treatment (ADOPT) study, which uses a Nanox.AI artificial intelligence solution, HealthVCF, to review routine CT scans, have identified up to six times more patients with vertebral compression fracture than the national average at National Health Services (NHS) hospitals in the UK, which include University of Oxford and other healthcare centers.
Key Points:
- Thus far in the study, the Nanox.AI algorithm has identified over 2,400 patients with VCF from routine CT scans that were not known to the NHS’s hospitals, and have since been flagged for follow-up assessments.
- “Leveraging AI-powered population health solutions presents an effective and efficient avenue for early identification of patients at very high risk of fractures, facilitating timely intervention and care.
- As such, there have been efforts to introduce FLS into public health systems.
- The next-generation HealthOST received FDA 510(K) clearance in April 2022.