BoneView revolutionizes fracture detection
PARIS, November 28, 2022 /PRNewswire/ — A US study of BoneView by GLOW AI software led by Ali Guermazi, MD, PhD, chief of radiology at the VA Boston Healthcare System and professor of radiology and medicine at Boston University School of Medicine, received the 2022 Alexander R. Margulis Award for Scientific Excellence. The prize rewards the best original scientific article for a given year among the hundreds published in Radiology, the first publication of the Radiological Society of North America (RSNA), an international society of radiologists, medical physicists and other medical imaging professionals representing 31 radiological subspecialties from 145 countries around the world.
The Margulis Prize Nominating Committee and the Margulis Prize Selection Committee review published manuscripts for novelty, quality, significance, and potential scientific and clinical impact. The committees selected the work of Dr. Guermazi, Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence, published in Vol. 302, No. 3 of Radiology, which demonstrated that GLEAMER’s BoneView® AI software helped detect and locate fractures across the entire appendicular skeleton, rib cage, thoracic and lumbar spine, improving sensitivity and specificity, while reducing reading time. The United States Food and Drug Administration (FDA) registration study led to BoneView being cleared by the FDA following its certification with CE Mark Class 2a in the European Union in March 2020; it has been widely adopted in more than 500 institutions across 20 countries.
“Radiologists are joining the AI revolution in the marketplace with Gleamer’s early acceptance and adoption of BoneView, and we are delighted that Professor Guermazi’s work has earned the Alexander R. Margulis Award for Scientific Excellence to raise awareness of the effectiveness of AI,” said Christian AlloucheCEO and co-founder of GLEAMER, a French medical technology company pioneering the use of artificial intelligence technology in the practice of radiology, for use by American healthcare specialists to aid in the diagnosis of fractures and traumatic injuries on X-rays. “This validates the revolutionary impact of our technology to enable faster and more accurate film playback within the existing process and without purchasing new equipment.”
GLEAMER developed BoneView to help radiologists, orthopedic surgeons, emergency physicians, rheumatologists, family physicians and physician assistants, all of whom read x-rays in clinical practice to diagnose fractures in their patients. BoneView detects fractures in X-ray images and submits them to radiologists for final validation, providing healthcare professionals with a safe, reliable, fast and user-friendly tool. The BoneView AI algorithm is cleared as CADe/CADx (computer-aided detection and diagnosis) by the FDA and highlights regions of interest with bounding boxes around areas where fractures are suspected so radiologists can give priority to the reading of these X-rays. In the study, Dr. Guermazi and his team demonstrated a noticeable increase in sensitivity of 10.4%, while reducing reading time by 15%.
“The workload for radiologists has doubled over the past two decades, and despite advances in technology, they must analyze hundreds of additional images every day, requiring highly reliable readings,” explained Dr Guermazi, who will accept the award at the 108th RSNA Scientific Meeting. and annual meeting Chicago, Nov. 27-Dec. 1. “The help of AI should make it possible to improve the specificity of the additional examinations prescribed after the X-ray, to avoid delays in management, and to direct patients towards the right therapeutic path. Our study was focused on the diagnosis of fractures, and a similar concept can be applied to other diseases and disorders.”
GLEAMER’s first globally available AI software, BoneView, is cleared by the US Federal Food and Drug Administration and has CE Class IIa certification in Europe. Studies by world-renowned radiologists and academic physicians have shown that BoneView improves fracture detection in X-ray images, providing healthcare professionals with a safe, reliable and fast second reading. GLEAMER is developing a suite of AI solutions for radiology that encapsulates medical-grade expertise. The company supports imaging users to secure diagnoses for all patients at all times, while improving efficiency. GLEAMER’s AI companions are directly integrated into users’ usual reading environment and act as an automated and seamless second read to improve diagnostic accuracy in X-ray imaging. GLEAMER’s solutions are currently used in 20 countries out of more of 500 sites.
For more information: www.gleamer.ai
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