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Percutaneous Nephrolithotomy

PCNL – Planning and real-time navigation

Urolithiasis, or kidney stones, is a common pathology affecting nearly 10% of the population in the USA. Percutaneous Nephrolithotomy (PCNL) is a minimally invasive urology

Read More
Prostate Tumor Segmentation

Implementing AI to Improve PI-RADS Scoring

Prostate Cancer and PI-RADS scoring Prostate cancer is the most common male cancer in the USA. When diagnosed early, mortality rates are very low, therefore,

Read More
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

Read More
RAS Navigation

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

Read More
Procedural Planning in urology

Procedural Planning in Urology

Challenges in Biopsies There are various types of urological cancers, the most common ones being prostate and kidney cancer. In cancer, early and accurate detection

Read More
C Arm X-Ray Machine Scanner

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

Read More
Visible spectrum color

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

Read More
Urology image fusion

Image Analysis and Artificial Intelligence in Urology

Artificial intelligence (AI) and deep learning play an increasingly crucial role in medical imaging in general, and in the field of urology particularly. The applications of AI in urology are numerous, starting with accurate diagnosis (using image segmentation and abnormality detection), continuing with biopsy and operative procedures (using tools for assisted navigation and robotic guidance), and ending in treatment assessment (using tools similar to those used in diagnosis in order to assess the response to treatment). 

Read More
one-click segmentation

One-click segmentation of medical images

In the medical field, image analysis plays a crucial role in both diagnosis and treatment. Its central tool is segmentation, which involves partitioning an image

Read More
AI in Diagnostic ERCP

Image Analysis and AI in Diagnostic ERCP

Recent developments in the field of medical image analysis and artificial intelligence (AI) are used to improve the procedural outcomes of ERCP (Endoscopic retrograde cholangiopancreatography). Here is how RSIP Vision develops AI for diagnostic ERCP. Read what we do for enabling 3D Image Reconstruction and Image Registration/Fusion. Learn how strictures detection and classification can provide the physicians with classification scoring and, sometimes, help them avoid unnecessary biopsies during ERCP.

Read More
< Page1 Page2 Page3 … Page22 >
Percutaneous Nephrolithotomy

PCNL – Planning and real-time navigation

Urolithiasis, or kidney stones, is a common pathology affecting nearly 10% of the population in the USA. Percutaneous Nephrolithotomy (PCNL) is a minimally invasive urology

Read More
Prostate Tumor Segmentation

Implementing AI to Improve PI-RADS Scoring

Prostate Cancer and PI-RADS scoring Prostate cancer is the most common male cancer in the USA. When diagnosed early, mortality rates are very low, therefore,

Read More
RAS Navigation

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

Read More
Procedural Planning in urology

Procedural Planning in Urology

Challenges in Biopsies There are various types of urological cancers, the most common ones being prostate and kidney cancer. In cancer, early and accurate detection

Read More
C Arm X-Ray Machine Scanner

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

Read More
Visible spectrum color

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

Read More
Urology image fusion

Image Analysis and Artificial Intelligence in Urology

Artificial intelligence (AI) and deep learning play an increasingly crucial role in medical imaging in general, and in the field of urology particularly. The applications of AI in urology are numerous, starting with accurate diagnosis (using image segmentation and abnormality detection), continuing with biopsy and operative procedures (using tools for assisted navigation and robotic guidance), and ending in treatment assessment (using tools similar to those used in diagnosis in order to assess the response to treatment). 

Read More
one-click segmentation

One-click segmentation of medical images

In the medical field, image analysis plays a crucial role in both diagnosis and treatment. Its central tool is segmentation, which involves partitioning an image

Read More
AI in Diagnostic ERCP

Image Analysis and AI in Diagnostic ERCP

Recent developments in the field of medical image analysis and artificial intelligence (AI) are used to improve the procedural outcomes of ERCP (Endoscopic retrograde cholangiopancreatography). Here is how RSIP Vision develops AI for diagnostic ERCP. Read what we do for enabling 3D Image Reconstruction and Image Registration/Fusion. Learn how strictures detection and classification can provide the physicians with classification scoring and, sometimes, help them avoid unnecessary biopsies during ERCP.

Read More
Type 4 cholangiocarcinoma

Enhanced ERCP tumor assessment using AI

ERCP involves both endoscopy and fluoroscopy on a region with limited access. Accordingly, it poses several challenges for the gastroenterologist performing the procedure: imaging and artificial intelligence are key technologies to solve these challenges. They are used to reconstruct multiangle 2D X-ray images into a 3D image that will help the gastroenterologists in real-time navigation, reducing any complications involved in the navigation process. AI can be trained to accurately classify each tumor found by ERCP and check whether it is cancerous or not. 

Read More
< Page1 Page2 Page3 … Page22 >

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