19Jan

AI and Robotic Surgery for Renal Cancer

By R. A. / 19/01/2021 / RSIP Vision Learns / No Comments

According to the CDC, over 41,000 men and 24,000 women are diagnosed with renal cancer in the US each year, and about one fourth of those diagnosed die from the disease. While a wide variety of renal cancer types exists, renal cell carcinoma (RCC) covers about 90% of renal cases. RCC includes sev...

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19Jan

PR – RSIP Vision Announces Versatile Medical Image Segmentation Tool

By R. A. / 19/01/2021 / News / No Comments

RSIP Vision Announces Versatile Medical Image Segmentation Tool, Delivering Efficient Anatomical Measurements and Better Treatment Options AI-based, domain-agnostic algorithmic module minimizes human errors in clinical analysis, while setting the stage for continued innovation and a new set of to...

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14Jan

AI and Deep Learning for Prostate Cancer

By R. A. / 14/01/2021 / RSIP Vision Learns / No Comments

Prostate cancer is the 2nd most prevalent cancer in men, requiring sophisticated tools for tumor detection and grading, as well as for treatment execution. Recent developments in the field of deep learning and artificial intelligence (AI) are moving the needle in prostate cancer healthcare. More ...

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Image Analysis and AI for BPH

By R. A. / 13/01/2021 / RSIP Vision Learns / No Comments

AI for BPH BPH (Benign Prostatic Hyperplasia) is a common condition in aging men and can lead to lower urinary tract symptoms (LUTS). Recent developments in the field of deep learning (DL) and artificial intelligence (AI) can aid in BPH detection, classification and treatment. Deep Learning and A...

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Improving Urolithiasis Healthcare Using AI and Image Analysis

By R. A. / 12/01/2021 / RSIP Vision Learns / No Comments

Urolithiasis Healthcare Using AI Urolithiasis, the formation of “stones” in the urinary pathway, is a prevalent pathology, found in 4-20% of the population. Recent developments in the field of image analysis, specifically deep learning (DL) and artificial intelligence (AI) are improving urolithia...

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15Dec

PR – RSIP Vision Announces New Cardiac Diagnostic Tool for Point-of-Care Ultrasound Screening

By R. A. / 15/12/2020 / News / No Comments

New algorithmic module provides automated expert-level assessment of heart function for point-of-care medical teams enabling a quick and reliable detection of cardiac illness and heart attacks. TEL AVIV, Israel & SAN JOSE, Calif., December 15, 2020 – RSIP Vision, an experienced leader i...

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22Jun

PRESS RELEASE – RSIP Vision introduces an innovative set of AI modules for enhanced medical ultrasound applications

By R. A. / 22/06/2020 / News / No Comments

RSIP Vision introduces an innovative set of AI modules for enhanced medical ultrasound applications. These innovative modules empower a wide range of medical applications by overcoming the main ultrasound challenges – user-dependent acquisition and noisy, clinically challenging images. This...

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21Apr

PRESS RELEASE – RSIP Vision Launches a Pioneering AI Suite Providing Optimal Solutions to Key Tasks in Lung Surgery

By R. A. / 21/04/2020 / News / No Comments

RSIP Vision Launches a Pioneering AI Suite Providing Optimal Solutions to Key Tasks in Lung Surgery. New technology offers critical information enabling pulmonary surgeons to perform state-of-the-art planning and procedures. SILICON VALLEY, Calif., April 20, 2020 — RSIP Vision, a global lea...

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17Mar

PRESS RELEASE – RSIP Vision Announces Breakthrough AI technology for 3D Reconstruction of Knees from X-ray Images

By R. A. / 17/03/2020 / News / No Comments

RSIP Vision Announces Breakthrough AI technology for 3D Reconstruction of Knees from X-ray Images. New technology creates a rich 3D modelling of each knee bone based solely on widely available X-ray images, enabling optimal pre-op planning and precise implant tailoring. Tel Aviv, Israel, March 16...

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5Feb

Deep Learning for Cardiac Ultrasound (Echocardiography)

By R. A. / 05/02/2020 / RSIP Vision Learns / No Comments

Cardiovascular disease at a glance Cardiovascular disease is a leading cause of death, disability and health care expenditure in the United States. Cardiovascular disease (CVD) accounted for 840,678 – or 1 out of 3 – deaths in the US in 2016 Nearly 30 million American adults are curre...

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30Jan

Endoscopic Procedures using Intravenous OCT

By R. A. / 30/01/2020 / RSIP Vision Learns / No Comments

While ultrasound imaging cannot be replaced, adding Intravenous OCT to endoscopy procedures significantly improves image resolution and increases the ability to detect plaque and segment it. Intravenous Optical Coherence Tomography (IVOCT) is a catheter-based medical procedure which uses a near i...

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30Jan

Using AI to Analyse Intravenous Ultrasound Images

By R. A. / 30/01/2020 / RSIP Vision Learns / No Comments

While the low-resolution Intravenous Ultrasound (IVUS) present its challenges, by adding AI to the we can easily overcome this issue, and improve the analysis of blood vessels interior parts for a better clinical outcome. Background Most endoscopic procedures rely on conventional 2D image sensors...

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28Jan

Segmentation in Orthopedics with Deep Learning

By R. A. / 28/01/2020 / RSIP Vision Learns / No Comments

Segmentation is highly important both for examination and planning of knee replacement, hip replacement, shoulder surgery, lesion detection, osteotomy and many other orthopedic procedures. RSIP Vision’s CTO Ilya Kovler and Senior Algorithm Developer Arie Rond explain how to improve the segm...

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28Jan

PRESS RELEASE – RSIP Vision Launches a Breakthrough AI-Based Shoulder Replacement Solution

By R. A. / 28/01/2020 / News / No Comments

RSIP Vision Launches a Breakthrough AI-Based Shoulder Replacement Solution, Dramatically Improving Clinical Outcome and Shortening Recovery Time. New Technology integrated in medical vendors’ platforms, allows Precise Automated 3D Shoulder Structuring, resulting in Better Plan Surgery and improve...

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20Jan

Surgical Instrument Segmentation

By R. A. / 20/01/2020 / RSIP Vision Learns / No Comments

Using computer vision to identify tools being employed at different stages of a procedure is not only another step toward robotic surgery, it’s a simple, yet very useful tool to streamline and safeguard the surgical process. Surgical instrument (tool) segmentation and classification is a computer...

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1Jan

Challenges and AI Solutions for Endoscopy

By R. A. / 01/01/2020 / RSIP Vision Learns / No Comments

As endoscopic and microscopic image processing, and surgical vision are evolving as necessary tools for computer assisted interventions (CAI), researchers have recognized the need for common datasets for consistent evaluation and benchmarking of algorithms against each other. The Endoscope Vision...

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18Dec

PRESS RELEASE – RSIP Vision Launches AI-Based, 3D Total Hip Replacement Solution

By R. A. / 18/12/2019 / News / No Comments

SILICON VALLEY, Calif., Dec 17, 2019 — RSIP Vision, an Israeli global provider of artificial intelligence (AI), computer vision, and image processing technology, announced today a new AI-based total hip replacement solution that provides a precise, automated 3D structure of the patients’ hi...

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21/01/2020

Global Big Data Conference:
January 21-23 in Santa Clara

By R. A. / 21/01/2020 / Events / No Comments

RSIP Vision participates in the 4th Annual Global Big Data Conference 2020 in Santa Clara, CA. We have a very strong experience in Artificial Intelligence. Come and talk with us: we will be happy to discuss with you all your medical devices and digital health projects! You will also be able to fo...

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01/02/2020

SPIE Photonics West:
February 2 in San Francisco

By R. A. / 01/02/2020 / Events / No Comments

RSIP Vision participates in the SPIE Photonics West 2020 in Santa Clara, CA. We have a very strong experience in Artificial Intelligence. Come and talk with us: we will be happy to discuss with you all your medical devices and digital health projects! You will also be able to follow Moshe Safran&...

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04/02/2020

IBM Symposium on AI for Biomedical Imaging:
February 4-5 in San Jose, CA

By R. A. / 04/02/2020 / Events / No Comments

RSIP Vision participates in the Symposium on AI for Biomedical Imaging held by IBM in San Jose, CA. We have a very strong experience in Artificial Intelligence. Come and talk with us: we will be happy to discuss with you all your medical devices and digital health projects! You will also be able ...

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