RSIP Vision

RSIP Vision is an established leader in computer vision and image processing R&D, delivering custom AI and computer vision solutions for medical devices. For over 25 years, the company has provided clients with advanced customized software using sophisticated algorithms and machine learning techniques. RSIP Vision's multidisciplinary engineering team, with expertise in physics, computer science, mathematics, biomedicine, and neuroscience, develops innovative and efficient solutions that enhance concept generation, accelerate R&D, and shorten time to market.

Key Capabilities

• Image Segmentation: Robust and accurate segmentation engines across all modalities (CT, MRI, X-ray, ultrasound) and clinical fields, clinically proven and deployed.
• Detection & Classification: Real-time detection of anatomical landmarks, pathologies, and surgical instruments, along with view classification, quality assessment, and pathology classification.
• Registration & Fusion: CT-MRI fusion, 2D fluoroscopy to 3D CT, and ultrasound-MRI fusion displayed in real time for intraoperative guidance and navigation.
• 3D Reconstruction: 2D-to-3D reconstruction from X-ray and fluoroscopy, patient-specific anatomy modeling for surgical planning and robotic navigation.
• Surgical Navigation: Instrument detection, EM-based tracking, and real-time guidance for bronchoscopy, PCNL, orthopedic, and cardiac procedures.
• Ultrasound AI: Automated technologies for image acquisition, quantification, analysis, and guidance.

Medical Fields

RSIP Vision works across multiple medical disciplines including cardiology, orthopedics, gastroenterology & endoscopy, pulmonology, surgical AI, ENT, urology, ophthalmology, neurology, and more.

How They Work

From concept to clinical use, RSIP Vision follows a process: Discovery & Scoping, Proof of Concept, Development & Validation, and Integration & Regulatory support, including FDA/CE documentation.