- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
FDA Clears New AI-Powered Spine MRI Software
Trained on over five million spine MRI scans, the RAI software reportedly facilitates rapid pathology detection and enhanced consistency with disc measurement.
The Food and Drug Administration (FDA) has granted 510(k) clearance for RAI, an artificial intelligence (AI)-enabled software for spine magnetic resonance imaging (MRI) that may foster improved detection of abnormal findings and degenerative pathology.
Currently utilized by over 300 radiologists worldwide, the RAI software (Remedy Logic) offers automated segmentation and disc measurements that may reduce reading time for radiologists. The software also flags incidental findings, identifies abnormalities, and provides concise summaries for pathology detection, according to Remedy Logic.
Currently utilized by over 300 radiologists worldwide, RAI, the newly FDA-cleared AI software for spine MRI, reportedly offers automated segmentation and disc measurements that may reduce reading time for radiologists, according to Remedy Logic, the developer of RAI. (Images courtesy of Remedy Logic.)
The company noted that RAI, which will be showcased at the upcoming Radiological Society of North American (RSNA) 2004 Annual Meeting in Chicago, has been trained with over five million spine MRI scans.
“This achievement (FDA clearance) underscores our commitment to improving efficiency for radiologists for improved safety for patients and completeness and objectivity for referring physicians. who have been left behind by innovation, while addressing the critical issue of spine MRI volumes outpacing available radiologists,” noted Andrej Rusakov, the CEO of Remedy Logic.
Study Assesses Potential of Seven-Minute AI-Enhanced 3T MRI of the Shoulder
February 20th 2025Researchers found that the use of seven-minute threefold parallel imaging-accelerated deep learning 3T MRI had 89 percent sensitivity for supraspinatus-infraspinatus tendon tears and 93 percent sensitivity for superior labral tears.
Study: AI Boosts Ultrasound AUC for Predicting Thyroid Malignancy Risk by 34 Percent Over TI-RADS
February 17th 2025In a study involving assessment of over 1,000 thyroid nodules, researchers found the machine learning model led to substantial increases in sensitivity and specificity for estimating the risk of thyroid malignancy over traditional TI-RADS and guidelines from the American Thyroid Association.
Prostate MRI Study Examines Key Predictors of False-Negative and False-Positive Results
February 17th 2025Researchers found that patients with high PSA density have more than double the risk of false-negative findings on prostate MRI and those with low PSA density are significantly less likely to have false-positive results.
