Discover Precision AI for Spinal Research at NASS 2024 and Two New Image Quality Control Features in UNITY

We're excited to announce that RAYLYTIC will be on-site at the North American Spine Society (NASS) Annual Meeting 2024 in Chicago from September 25-28! This event is one of the most anticipated gatherings in spinal research and education, and we can’t wait to showcase our latest advancements in AI-powered spinal image analysis.

Automated, Scalable, and Reliable Spinal Image Analysis

At NASS 2024, we'll be highlighting the cutting-edge capabilities of our cloud-based UNITY platform. This platform includes a comprehensive library of over 150 automated measurements designed to evaluate spinal deformities, pathologies, and the safety and efficacy of therapies. Our AI-powered algorithms provide rapid and accurate measurements across all major spinal therapies, including:

• Motion preservation technology
• Fusion
• Deformity correction

For more than a decade, RAYLYTIC has been at the forefront of spinal research technology, combining innovation with clinical and operational expertise. Our technology is trusted by the spine community and has supported over 100 clinical trials across various regulatory pathways (IDE, PMCF, 510k, and more).

Follow the link below to schedule a meeting with us at NASS:

Introducing New Medical Image Quality Control Features in UNITY

We're not just about measurements—our focus is also on enhancing medical image quality in global clinical trials. Therefore, we’ve recently deployed two new AI-based models designed to improve the quality of images from clinical sites, making your spinal analysis even more reliable.

Enhanced Image Classification

Our state-of-the-art AI models improve image classification by accurately detecting anatomical regions and analyzing image orientation. These advancements ensure that spinal images are correctly identified, laying the groundwork for precise and reliable measurements.

Out-of-Plane Image Detection

Our Out-of-Plane Image Detection technology addresses image quality issues stemming from out-of-plane artifacts, which are often caused by improper patient positioning relative to the X-ray beam. By identifying these artifacts, the system not only improves the accuracy of spinal measurements but also provides feedback to clinical sites. This feedback helps pinpoint and address systematic problems with image quality, enabling sites to make necessary adjustments and ensure consistently high-quality imaging data.

We look forward to connecting with you at NASS 2024! Don't miss this opportunity to discover how RAYLYTIC’s AI-powered solutions can transform your spinal research and clinical trials.