Surgical Intelligence

Premier partner for surgical intelligence & medical video analysis

AI-assisted surgery is one of the most important emerging frontiers in medical imaging. RSIP Vision can help you build the advanced image processing capabilities needed to improve efficiency, safety, surgeon training, visual enhancement, 3D navigation, and more for the OR of the future.

AI and Computer Vision Technologies

From tissue segmentation to motion tracking to detection to action recognition and analytics-we’ll bring the latest state-of-the-art capabilities into your product

Case study

Surgical Stages Recognition

The Challenge:

An Industry leader wanted to automate surgical stages recognition to drive efficiencies in growing analytics pipeline

Our Approach:

We performed a deep literature review, providing our client with a fully updated map of technologies
We implemented our solution, selected to achieve best results in minimal development time
We then adapted this solution to multiple types of surgery

Results:

Our client achieved state-of-the-art stages recognition performance
Our solution has been integrated in our client’s software pipeline

Learn more

Learn more solutions and technologies from this field

Success Rating and Dynamic Feedback in RAS

Success Rating in Robotic Assisted Surgeries

Success Rating and Dynamic Feedback Minimally invasive surgeries (MIS), specifically robotic assisted surgeries (RAS), generally have an improved outcome compared with standard surgeries. However, they are not free of adverse events (AE). These undesired events can be a result of human error or equipment malfunction. Early detection of the event is essential for treatment and can reduce mortality rate and extra hospitalization time significantly. RASs are normally video guided – whether using regular, endoscopic cameras, depth cameras, or a combination of them. This continuous video feed can be used to

Tissue Sparing in Robotic Assisted Orthopedic Surgeries

Orthopedic surgeries such as hip or knee replacement are performed via an incision which often compromises the surrounding tissue. The assimilation of RAS into these surgeries significantly decreases the incision size and allows sparing of more tissue compared with standard surgeries. In addition, RAS possess higher accuracy and precision during the procedure. The combination of smaller incision, less damage to nearby tissue, and better accuracy for implant placement, results in faster recovery, lower pain levels reported, and fewer complications. Improve Procedural Planning with AI The first step towards a tissue

Radiation Reduction in Robotic Assisted Surgeries (RAS) Using AI

Fluoroscopy is an extremely useful imaging tool in surgical procedures in orthopedics, cardiology, GI, etc. In some cases, it is used as a real-time modality and it is a well-established method for image interpretation. Recent advancements in AI and computer vision technology also allow 3D reconstruction from these images, as well as fusion to other modalities, making it a better tool for navigation. The main detriment of fluoroscopy is the ionizing x-ray radiation which penetrate the human body and can cause long-term damage. Increased risk of cataracts as well as

Hyperspectral Imaging for Robotic Assisted Surgery

Standard imaging techniques make use of the visible light spectrum. As is known, the visible light is divided into three bands – red, green, and blue (RGB). This artificial division is very useful for visibility, however, pertinent information from different wavelengths is disregarded. Hyperspectral imaging utilizes this data to improve the visible image we see. How does it work? Hyperspectral imaging requires that only a specific band from the spectrum will be recorded. This can be done by using a sensor that is sensitive to a unique part of the

AI for Navigation in Robotic Assisted Surgeries

Every Robotic Assisted Surgeries (RAS) requires some level of navigation. While in open surgery the target is viewed directly, minimally invasive RAS views come from inside the body cavity, with a restricted field-of-view (FOV). Also, the surgeon’s hands are occupied with the tools, whereas the camera is controlled by an assistant, adding another complication to the procedure – requiring perfect collaboration between them. Another challenge arises from anatomical and physiological differences between patients which make it difficult to accurately position surgical tools and recognize target organs. In gastroscopies or colonoscopies,

PR – Real-Time Surgical Workflow Recognition

RSIP Vision Reveals Its Newest Feat of Medical Imaging Innovation: Real-Time Surgical Workflow Recognition and Analysis Technology for Robotic Assisted Surgeries The company’s newest module automatically tracks and identifies specific surgical steps during procedures, providing the key basis for intraoperative clinical decision support systems and post-op analysis while enhancing robotic surgery systems. TEL AVIV, Israel & SAN JOSE, Calif., June 15, 2021 – RSIP Vision, a respected leader driving medical imaging innovation through advanced AI and computer vision solutions, announced today its new surgical workflow analysis technology, which can intelligently

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Surgical Intelligence

Premier partner for surgical intelligence & medical video analysis

AI-assisted surgery is one of the most important emerging frontiers in medical imaging. RSIP Vision can help you build the advanced image processing capabilities needed to improve efficiency, safety, surgeon training, visual enhancement, 3D navigation, and more for the OR of the future.

AI and Computer Vision Technologies

Tissue Segmentation

Action Recognition

Implements Analysis

Motion Estimation

3D Reconstruction

Navigation

Functionalities:

Computer Vision Modules:

Multimodal Registration

Image Enhancement

R&D Services

How we work

Execution

Deliverables

R&D Services for Endoscopy & Video Analysis