We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




AI Software Integrated into X-Ray Imaging Systems Helps Identify Bone Trauma at POC

By MedImaging International staff writers
Posted on 26 Jul 2022
Print article
Image: BoneView AI software will be integrated with Fujifilm X-ray systems (Photo courtesy of Fujifilm)
Image: BoneView AI software will be integrated with Fujifilm X-ray systems (Photo courtesy of Fujifilm)

A revolutionary AI software designed to assist radiologists and emergency clinicians in the diagnosis of skeletal fractures uses advanced algorithms to detect and localize lesions on X-rays – graphically highlighting areas of interest – before submitting the images to radiologists for validation.

Fujifilm (Tokyo, Japan) has equipped its X-ray systems with a new image processing box called EX-Mobile enabling them to connect with GLEAMER’s (Paris, France) BoneView software. Results are available within 30 seconds at the point of care, providing healthcare professionals with additional support to help improve patient management. 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 centers, 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. These results are supported by another study involving additional anatomical locations, where AI assistance reduced radiograph reading times by 6.3 seconds per patient.

“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,” said 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,” added Christian Allouche, CEO at GLEAMER.

Related Links:
Fujifilm 
GLEAMER 

New
MRI System
Ingenia Prodiva 1.5T CS
New
Digital X-Ray Detector Panel
Acuity G4
New
Computed Tomography System
Aquilion ONE / INSIGHT Edition
New
Digital Radiographic System
OMNERA 300M

Print article

Channels

Ultrasound

view channel
Image: The addition of POC ultrasound can enhance first trimester obstetrical care (Photo courtesy of 123RF)

POC Ultrasound Enhances Early Pregnancy Care and Cuts Emergency Visits

A new study has found that implementing point-of-care ultrasounds (POCUS) in clinics to assess the viability and gestational age of pregnancies in the first trimester improved care for pregnant patients... Read more

Nuclear Medicine

view channel
Image: PSMA-PET/CT images of an 85-year-old patient with hormone-sensitive prostate cancer (Photo courtesy of Dr. Adrien Holzgreve)

Advanced Imaging Reveals Hidden Metastases in High-Risk Prostate Cancer Patients

Prostate-specific membrane antigen–positron emission tomography (PSMA-PET) imaging has become an essential tool in transforming the way prostate cancer is staged. Using small amounts of radioactive “tracers,”... Read more

General/Advanced Imaging

view channel
Image: Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right) (Photo courtesy of Nature Machine Intelligence, 2024. DOI: 10.1038/s42256-024-00912-9)

Deep Learning Based Algorithms Improve Tumor Detection in PET/CT Scans

Imaging techniques are essential for cancer diagnosis, as accurately determining the location, size, and type of tumors is critical for selecting the appropriate treatment. The key imaging methods include... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.