- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
New AI Modality Gets FDA Nod for Detecting Aortic Atherosclerosis and Ectasia on Chest X-Rays
One study showed use of the Aorta-CAD cloud-based software led to a 62 percent reduction of missed aortic calcification that suggested aortic atherosclerosis.
The Food and Drug Administration (FDA) has granted 510(k) clearance to Aorta-CAD (Imagen Technologies), a cloud-based software device which employs deep learning capabilities to help detect aortic atherosclerosis and aortic ectasia on chest X-rays.
Imagen Technologies said the computer-assisted detection (CAD) device creates annotations that alert physicians to findings on chest X-rays that may be indicative of aortic ectasia or atherosclerosis. A clinical trial of the Aorta-CAD device revealed a 35 percent reduction of missed diagnoses for dilated aorta, a finding that suggests aortic ectasia, and a 62 percent reduction of missed diagnoses for aortic calcification, which can be associated with aortic atherosclerosis, according to Imagen Technologies.
“Aorta-CAD assists the physician to have a consistent and repeatable process to look into the cardiac silhouette providing additional information to enhance the patient’s treatment plans and care,” noted Scott Howell, the chief medical officer for Imagen Technologies.
The company adds that Aorta-CAD, which is available through Imagen Technologies’ diagnostics as a service (DaaS) platform, can reportedly be integrated into existing radiology workflows for X-ray reading without costly training or new PACS technology.
Can AI Bolster Breast Cancer Detection in DBT Screening?
January 16th 2025In sequential breast cancer screening with digital breast tomosynthesis (DBT), true positive examinations had more than double the AI case score of true negative examinations and the highest positive AI score changes from previous exams, according to new research.
New Survey Explores Radiologist and Neurologist Comfort Level with AI Triage for Brain MRI
January 7th 2025Survey results revealed that 71 percent of clinicians preferred adjunctive AI in facilitating triage of brain MRI scans and 58 percent were comfortable utilizing AI triage without input from radiologists.
