- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Fonar debuts scoliosis application
Fonar featured a new scoliosis application for its Upright MR scanner. New software and a receiver coil produce coronal, sagittal, and axial views of the entire spine.
Fonar featured a new scoliosis application for its Upright MR scanner. New software and a receiver coil produce coronal, sagittal, and axial views of the entire spine. The package is designed to provide a radiation-free alternative for diagnosing and monitoring the therapy of patients with scoliosis, a condition that affects approximately six million people in the U.S., according to the National Scoliosis Foundation.
Can Generative AI Facilitate Simulated Contrast Enhancement for Prostate MRI?
January 14th 2025Deep learning synthesis of contrast-enhanced MRI from non-contrast prostate MRI sequences provided an average multiscale structural similarity index of 70 percent with actual contrast-enhanced prostate MRI in external validation testing from newly published research.
Can MRI Have an Impact with Fertility-Sparing Treatments for Endometrial and Cervical Cancers?
January 9th 2025In a literature review that includes insights from recently issued guidelines from multiple European medical societies, researchers discuss the role of magnetic resonance imaging (MRI) in facilitating appropriate patient selection for fertility-sparing treatments to address early-stage endometrial and cervical cancer.
Surveillance Breast MRI Associated with Lower Risks of Advanced Second Breast Cancers
January 8th 2025After propensity score matching in a study of over 3,000 women with a personal history of breast cancer, researchers found that surveillance breast MRI facilitated a 59 percent lower risk in advanced presentations of second breast cancers.
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.
