The OsteoDetect software is a computer-aided detection and diagnostic software that uses an artificial intelligence algorithm to analyze two-dimensional X-ray images for signs of distal radius fracture, a common type of wrist fracture. The software marks the location of the fracture on the image to aid the provider in detection and diagnosis.
OsteoDetect analyzes wrist radiographs using machine learning techniques to identify and highlight regions of distal radius fracture during the review of posterior-anterior (front and back) and medial-lateral (sides) X-ray images of adult wrists. OsteoDetect is intended to be used by clinicians in various settings, including primary care, emergency medicine, urgent care and specialty care, such as orthopedics. It is an adjunct tool and is not intended to replace a clinician’s review of the radiograph or his or her clinical judgment.
OsteoDetect-aided read performance also showed statistically significant improvement as measured by sensitivity, specificity, PPV, and NPV as compared with the unaided read performance. Specifically, Imagen's study demonstrated a device-aided sensitivity of 80.3%.
Earlier detection of a distal radial fracture will allow earlier intervention,potentially allowing closed reduction and casting instead of open reduction, minimizing the risk of delayed pain and post-traumatic arthritis.
This software potentially bringssubspecialty expertise of musculoskeletal radiologists and orthopaedicsurgeons specializing in hand and wrist surgery to physicians andphysician assistants working in emergency rooms across the country.