RSIP Vision
RSIP Vision is driving innovation in Visual Intelligence for Medical Devices, through advanced AI and computer vision applications. A proven global leader, with an extensive track record and over 25 years in the field, trusted by the largest, industry leading medical device companies. RSIP Vision offers clinical-grade AI modules that provide medical device companies with advanced visual intelligence capabilities, to stay ahead of the rapid AI adoption curve and maintain their competitive edge. Our software can be found in medical devices in leading facilities worldwide, ensuring our customers remain at the forefront of the latest medical computer vision advances.
RSIP Vision is headquartered in Jerusalem, and has a U.S. office in San Jose, CA.
More information is available on the company website: www.rsipvision.com
Machine Learning in Ultrasound Guided Surgery and Intervention - Webinar by RSIP Vision / Yipeng Hu
Can We Trust AI? Pitfalls in Deep Learning for Musculoskeletal Imaging ... - Webinar by RSIP Vision
New AI Tool for Ureter Reconstruction from Fluoroscopic Images by RSIP Vision
The Challenges and Future of Surgical Robotics - Fireside chat with Eric Tailor
AI Assisted Surgery for Next Generation Interventions: Bay Vision Meetup with Sophia Bano
Machine Learning in Medical Imaging – Current Challenges: Bay Vision Meetup with Klaus Maier-Hein
AI Tool for Prostate MRI Analysis to Support PI-RADS Scoring by RSIP Vision
Total Shoulder Arthroplasty planning from MRI by RSIP Vision
AI and the Future of Radiology with Daniel Rueckert - Bay Vision virtual Meetup
Virtual Measurements in Laparoscopic and Robotic Surgeries by RSIP Vision
Emerging Technologies in AI for Surgical Imaging
3D from 2D coronary reconstruction by RSIP Vision
Bladder Panorama and Sparse Reconstruction by RSIP Vision
Patient-Specific AI-based Intraoperative Registration Module for Orthopedic Surgery
Automated Cartilage Segmentation for Sports Medicine Applications 5
MRI to Ultrasound Fusion by RSIP Vision
Endoscopic Ultrasound Guided Interventions: current approaches and challenges
Robust Metal Implant and Anatomical Segmentation Tool by RSIP Vision
Bay Vision Virtual Meetup - Machine learning in medical imaging from acquisition to interpretation
One-click segmentation in medical imaging - by RSIP Vision
Artificial Intelligence and its Impact on Healthcare - talk with Moshe Safran (RSIP Vision)
Integrating clinical guidance in AI product development - Webinar by RSIP Vision
Bay Vision Virtual Meetup -- AI-Assisted Surgery: Perspectives and Challenges
End To End CNN for 3D Reconstruction of Knee Bones From Bi-Planar X-ray Images by RSIP Vision
Bay Vision Virtual Meetup - Digital Orthopaedics: The rise of specialty focus in digital health
Towards Understanding Surgical Scenes Using Computer Vision - Bay Vision Virtual Meetup - July 7
Post Pandemic Portfolio - Managing innovation to drive growth - Webinar by RSIP Vision - June 3
Computer Vision Project Management in the Age of AI - Webinar by RSIP Vision - April 29