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.
Can Abbreviated Breast MRI Have an Impact in Assessing Post-Neoadjuvant Chemotherapy Response?
April 24th 2025New research presented at the Society for Breast Imaging (SBI) conference suggests that abbreviated MRI is comparable to full MRI in assessing pathologic complete response to neoadjuvant chemotherapy for breast cancer.
Clarius Mobile Health Unveils Anterior Knee Feature for Handheld Ultrasound
April 23rd 2025The T-Mode Anterior Knee feature reportedly offers a combination of automated segmentation and real-time conversion of grayscale ultrasound images into color-coded visuals that bolster understanding for novice ultrasound users.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.