News & Media

Deep Reasoning AI and Innolitics Achieve FDA 510(k) Clearance for NeuroDR, AI Software for Neurovascular CT Angiography

Deep Reasoning AI Inc. and Innolitics announce 510(k) clearance (K262134) from the U.S. Food and Drug Administration for NeuroDR, AI-enabled software that visualizes the arteries of the head and neck from CT angiography (CTA) scans. The software automatically removes bone and soft tissue to generate 3D volume renderings and separate anterior and posterior circulation views for clinical review. Together, we successfully cleared the FDA submission in just 105 days.

3DR Labs Announces FDA Clearance of NeuroDR, a First-of-Its-Kind Neurovascular Imaging AI with Zero-Click Autonomous 3D Anatomical Modeling

3DR Labs and Deep Reasoning AI Inc. announce 510(k) clearance from the U.S. Food and Drug Administration for NeuroDR. NeuroDR is a first-of-its-kind, fully automated, AI-driven Software as a Medical Device (SaMD) designed for high-precision neurovascular 3D segmentation, anatomical modeling, and vessel centerlining.

FDA 510(k) clearance number K262134

3DR Labs and Deep Reasoning AI Partner to Advance Stroke Risk Assessment Through AI-Powered CTA Analysis

The collaboration combines Deep Reasoning’s AI technology with 3DR Labs’ image post-processing expertise to advance automated CTA segmentation and vessel centerlining.

Deep Reasoning AI and Mayo Clinic Partner to Advance Automated Spinal Bone Density Quantification in Journal of Clinical Medicine

Deep Reasoning AI Inc. and Mayo Clinic’s orthopedic research team, led by Dr. A. Noelle Larson, announced the publication of their collaborative study in the Journal of Clinical Medicine (JCM). The study validates Deep Reasoning AI’s spine model for fully automated 3D volumetric Hounsfield Unit (HU) quantification from lumbar CT scans in approximately 30 seconds per scan. The automated model demonstrated strong positive correlations, ρ up to 0.75, with gold-standard DXA metrics, offering a rapid, reproducible, and highly scalable solution for preoperative spine surgical planning and opportunistic osteoporosis screening.

Deep Reasoning AI Awarded NIH Grant in Collaboration with Mayo Clinic for Craniomaxillofacial Reconstruction

Deep Reasoning AI received an NIH grant for $350,000 to develop 3D anatomical modeling and virtual surgical planning for craniomaxillofacial reconstruction, with Dr. Jonathan Morris of Mayo Clinic as principal investigator and Dr. Di Chen of Deep Reasoning AI as co-principal investigator.

NIH project number 1R41DE034646-01

The Scientific Foundations of Deep Reasoning

Research by members of our team on deep reasoning networks for materials discovery was featured in Nature Machine Intelligence.