Fujifilm integrates AI software to help identify bone trauma at POC (Point-of-Care)

BoneView® is a revolutionary AI software designed to assist radiologists and emergency clinicians in the diagnosis of skeletal fractures. It uses advanced algorithms to detect and localise lesions on X-rays – graphically highlighting areas of interest – before submitting the images to radiologists for validation. Fujifilm X-ray systems are equipped with a new image processing box called EX-Mobile enabling to connect with BoneView® software. Results are available within 30 seconds at the point of care, providing healthcare professionals with additional support to help improve patient management.

Image Credit: FUJIFILM Corporation

The user-friendly software can be seamlessly integrated into Fujifilm’s comprehensive x-ray modality line-up, making it perfectly suited to small or remote clinics, pop-up medical centres, nursing homes, up to large multi-function institutions. This will aid medical staff in the rapid identification of patients with suspected fractures, triaging them for further investigation to ease workflows and enhance patient care pathways. A clinical trial involving appendicular skeletal fractures found that BoneView® reduced the number of false positives by 41.9 %, and improved fracture detection sensitivity and specificity.1 These results are supported by another study involving additional anatomical locations, where AI assistance reduced radiograph reading times by 6.3 seconds per patient.2 

Image Credit: FUJIFILM Corporation

It is very exciting to be part of this partnership. BoneView® is an extraordinary tool that will assist busy radiographers, radiologists and clinicians to better manage patients at the point of care, adding value for both staff and the patients.”

Richard Cahalane, Product Manager Digital Modalities, FUJIFILM Europe GmbH

Having Fujifilm on board has been crucial in the development of this product, and to get it in front of the clinicians that need it. AI technologies are becoming increasingly established in the medical sector, and really proving their value. Any medical innovation is about improving the care of the patient, and BoneView® promises to do just that."

Christian Allouche, CEO, GLEAMER

BoneView® will be launched in Europe at the European Congress of Radiology in July. Visit www.gleamer.ai/boneview for more information.

Source:
Journal references:
  1. Duron L., et al. (2021) Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study. Radiology300(1), pp. 120-129. https://pubs.rsna.org/doi/10.1148/radiol.2021203886
  2. Guermazi A., et al. (2022) Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence. Radiology, 302(3), pp. 627-636. https://pubs.rsna.org/doi/10.1148/radiol.210937

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