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AI demonstrates 15% higher sensitivity in detecting fractures compared to the average radiologist. This significant difference confirms that AI can maintain a high success rate in identifying fractures across various parts of the body, including areas with the highest fracture incidence. The study results underscore the potential for AI to improve the accuracy and efficiency of diagnosis in clinical practice.
Between 5:00 PM and 3:00 AM, there is a significant increase in missed fractures because there are fewer doctors in hospitals, and those on duty have already completed a full workday, which may affect their attention and concentration.
X-rays of the musculoskeletal system are the most commonly performed radiographic examinations in hospitals and outpatient facilities. Hundreds of images per day represent a significant burden for evaluating physicians, often leading to several hours of waiting for the results' descriptions.
Our solution provides healthcare facilities with immediate evaluation of X-ray images. AI reliably distinguishes fractures or structural changes in bones, increasing care efficiency and allowing faster access to treatment for patients with serious findings.
AI also minimizes the risk of overlooking significant findings when examining a large number of images, which is particularly beneficial for junior doctors.
