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AI is Helping Radiologists Detect Fractures Faster

Radiologists face increasing pressure to diagnose fractures quickly and accurately. AI solutions like  Rayvolve  are transforming this process by reducing missed fractures and improving efficiency. The  NHS  is adopting AI to support radiologists, ensuring that critical injuries are identified without delays. With high vacancy rates in radiology departments, AI can act as an extra pair of eyes, helping to manage workload and improve patient outcomes. Rayvolve’s clinically validated technology provides reliable support, making it a valuable tool in modern healthcare. To read the full article,  click here .

Advancements in Fracture Detection

Timely and precise detection of fractures is crucial in treating trauma patients to provide appropriate care and avoid long-lasting issues. Artificial intelligence (AI) is becoming increasingly vital in this area by enhancing accuracy and streamlining medical imaging processes.  During the RSNA 2023 event, researchers presented findings showing that AI excelled in detecting fractures that are commonly missed by radiologists—an indication of the benefits of using AI in diagnostic procedures. Additionally, the UK’s National Institute for Health and Care Excellence (NICE) acknowledged the importance of AI in guiding clinical decisions by endorsing AZtrauma, now part of Rayvolve® AI Suite , for multiple applications.  These advancements signify a transformation in diagnostic methods, where AI is not only supporting radiologists but actively enhancing patient outcomes. AZtrauma represents a significant advancement in fracture detection. Developed by AZmed and powered by deep learn...