AI Software Integrated into X-Ray Imaging Systems Helps Identify Bone Trauma at POC
|
By MedImaging International staff writers Posted on 26 Jul 2022 |
|
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
Latest Radiography News
- Routine Mammograms Could Predict Future Cardiovascular Disease in Women
- AI Detects Early Signs of Aging from Chest X-Rays
- X-Ray Breakthrough Captures Three Image-Contrast Types in Single Shot
- AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
- AI Algorithm Uses Mammograms to Accurately Predict Cardiovascular Risk in Women
- AI Hybrid Strategy Improves Mammogram Interpretation
- AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
- RSNA AI Challenge Models Can Independently Interpret Mammograms
- New Technique Combines X-Ray Imaging and Radar for Safer Cancer Diagnosis
- New AI Tool Helps Doctors Read Chest X‑Rays Better
- Wearable X-Ray Imaging Detecting Fabric to Provide On-The-Go Diagnostic Scanning
- AI Helps Radiologists Spot More Lesions in Mammograms
- AI Detects Fatty Liver Disease from Chest X-Rays
- AI Detects Hidden Heart Disease in Existing CT Chest Scans
- Ultra-Lightweight AI Model Runs Without GPU to Break Barriers in Lung Cancer Diagnosis
- AI Radiology Tool Identifies Life-Threatening Conditions in Milliseconds
Channels
MRI
view channel
MRI Scans Reveal Signature Patterns of Brain Activity to Predict Recovery from TBI
Recovery after traumatic brain injury (TBI) varies widely, with some patients regaining full function while others are left with lasting disabilities. Prognosis is especially difficult to assess in patients... Read more
Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
Vascular dysfunction in the spinal cord contributes to multiple neurological conditions, including traumatic injuries and degenerative cervical myelopathy, where reduced blood flow can lead to progressive... Read more
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreUltrasound
view channel
Portable Ultrasound Sensor to Enable Earlier Breast Cancer Detection
Breast cancer screening relies heavily on annual mammograms, but aggressive tumors can develop between scans, accounting for up to 30 percent of cases. These interval cancers are often diagnosed later,... Read more
Portable Imaging Scanner to Diagnose Lymphatic Disease in Real Time
Lymphatic disorders affect hundreds of millions of people worldwide and are linked to conditions ranging from limb swelling and organ dysfunction to birth defects and cancer-related complications.... Read more
Imaging Technique Generates Simultaneous 3D Color Images of Soft-Tissue Structure and Vasculature
Medical imaging tools often force clinicians to choose between speed, structural detail, and functional insight. Ultrasound is fast and affordable but typically limited to two-dimensional anatomy, while... Read more
Nuclear Medicine
view channel
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read more
Cancer “Flashlight” Shows Who Can Benefit from Targeted Treatments
Targeted cancer therapies can be highly effective, but only when a patient’s tumor expresses the specific protein the treatment is designed to attack. Determining this usually requires biopsies or advanced... Read more
General/Advanced Imaging
view channel
AI Tool Offers Prognosis for Patients with Head and Neck Cancer
Oropharyngeal cancer is a form of head and neck cancer that can spread through lymph nodes, significantly affecting survival and treatment decisions. Current therapies often involve combinations of surgery,... Read more
New 3D Imaging System Addresses MRI, CT and Ultrasound Limitations
Medical imaging is central to diagnosing and managing injuries, cancer, infections, and chronic diseases, yet existing tools each come with trade-offs. Ultrasound, X-ray, CT, and MRI can be costly, time-consuming,... Read more
Imaging IT
view channel
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
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more
Industry News
view channel
Nuclear Medicine Set for Continued Growth Driven by Demand for Precision Diagnostics
Clinical imaging services face rising demand for precise molecular diagnostics and targeted radiopharmaceutical therapy as cancer and chronic disease rates climb. A new market analysis projects rapid expansion... Read more
