RSIP Vision Introduction
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RSIP Vision is a world-class pioneer in medical image analysis and AI, offering custom computer vision solutions for medical devices and applications.
View MoreWhat is RSIP Vision
RSIP Vision is a software company specializing in artificial intelligence, deep learning, and computer vision for medical imaging applications. Founded in 1987 and headquartered in Jerusalem, Israel, with offices in the US, RSIP Vision has over 25 years of experience delivering cutting-edge R&D services to the high-tech industry. Their team of mathematicians, physicists, and software developers provides advanced algorithmic solutions and image processing applications across multiple medical fields including cardiology, orthopedics, gastroenterology, pulmonology, and more.
How does RSIP Vision work?
RSIP Vision works closely with medical device companies to develop custom AI and computer vision solutions tailored to specific clinical needs. Their process involves concept development, prototype creation, full implementation, and productization. They leverage deep learning techniques and neural networks to create sophisticated algorithms for tasks like medical image segmentation, classification, and analysis. RSIP Vision's solutions can be applied to various imaging modalities including CT, MRI, ultrasound, endoscopy video, and microscopy. The company provides end-to-end support from initial R&D to regulatory documentation and clinical deployment.
Benefits of RSIP Vision
By partnering with RSIP Vision, medical device companies can accelerate their R&D processes, reduce time-to-market, and gain a competitive edge through innovative AI capabilities. RSIP Vision's field-tested technologies enable more accurate diagnoses, improved surgical planning and guidance, and enhanced clinical workflows across multiple specialties. Their solutions are robust, clinically validated, and designed for seamless integration into existing medical systems. Additionally, RSIP Vision's expertise in regulatory compliance helps streamline the path to market for AI-powered medical devices.
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