AI algorithm to detect wrist fracturesOctober 10, 2018
Imagen’s OsteoDetect, a type of computer-aided detection and diagnosis software designed to detect wrist fractures in adult patients, will soon be available in the US market.
The Osteo Detect software is a computer-aided detection and diagnostic software that uses an artificial intelligence algorithm to analyse 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.
Osteo Detect analyses wrist radiographs using machine learning techniques to identify and highlight regions of distal radius fracture during the review of posterior-anterior and medial-lateral X-ray images of adult wrists.
OsteoDetect can 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 judgement.
Imagen submitted a retrospective study of 1,000 radiograph images that assessed the independent performance of the image analysis algorithm for detecting wrist fractures and the accuracy of the fracture localisation of OsteoDetect against the performance of three board-certified orthopedic hand surgeons.
Imagen also submitted a retrospective study of 24 providers who reviewed 200 patient cases. Both studies demonstrated that the readers’ performance in detecting wrist fractures was improved using the software, including increased sensitivity, specificity, positive and negative predictive values, when aided by OsteoDetect, as compared with their unaided performance according to standard clinical practice