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AI-based Surgical Workflow Analysis, another big step towards the future of robotic surgery

Surgical workflow analysis is an important safety guard for the surgeon: with it, a computer is able to scan a video of a surgery, either offline after it has already been performed or online during the surgery itself, and automatically identify at what stage the surgery is at. Read about RSIP Vision’s approach, built on many years of experience in the development of practical applications.

Challenges and AI Solutions for Endoscopy

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

Sensors for ADAS Technology: 3. RADARs

This is a series of three articles about sensors used by the automotive industry to allow perception on autonomous vehicles and increase security for all. Read about RGB cameras, LiDARs and Radars. RSIP Vision and its engineers have a rich experience in sensors for ADAS systems and for autonomous driving.

Autonomous self-driving car showing Lidar

ADAS sensors: 2. LiDARs

ADAS sensors: 1. RGB cameras

Multiplex IF Analysis

The use of deep learning for analysis of multiplex IF has allowed for a much greater accuracy level for the correct phenotypic classification of cells. When combined with RSIP Vision‘s advanced nuclear detection capability, it allows for the simultaneous analysis of multiple florescent markers on a cell by cell basis. This tool is well suited for multiple applications, especially when using multiple markers to characterize distinct cell populations such as in immune-oncology and IBD.

Circulating Tumor Cells (CTCs)

Circulating tumor cells (CTCs) are rare cancer cells that originate from a tumor and then travel through the patient’s blood or lymphatic system. CTCs have

Detecting Pulmonary Embolism from CT Scan

Pulmonary embolism is a very dangerous condition, which happens when a clot of blood moves from somewhere (generally the legs) to the heart and then

Coronary Arteries Segmentation

Coronary artery disease (CAD) or ischemic heart disease (IHD) has become one of the most common causes of morbidity and mortality worldwide. Patients who suffer

Great Vessels Segmentation with Deep Learning

The great vessels conduct blood to and from the heart. These vessels include the aorta, superior and inferior vena cava, pulmonary arteries and pulmonary veins.

Lymph Node Segmentation Module

Lymph nodes are routinely examined and assessed during physical examination of patients in a clinic or hospital setting. Enlarged lymph nodes can be indicators of

Brain Ventricles Segmentation with Deep Learning

Early diagnosis and treatment of ventricular system pathologies is crucial. Brain CT has become a leading diagnostic tool due to its high availability and quick image generation, which is useful in emergency room settings such as stroke or traumatic brain injury (TBI). Backed by cutting edge deep neural network and advanced Artificial Intelligence techniques, CT imaging can perform a very accurate brain ventricles segmentation and supply the physicians with crucial information regarding presence of hemorrhage, ischemia, tumors, hydrocephalus, and other pathologies.

Sinus Segmentation with Deep Learning

The paranasal sinuses are air-filled spaces surrounding the nasal cavity. The sinuses include the maxillary, frontal, ethmoidal and sphenoidal sinuses. Due to being air filled, the sinuses make

Brain Hemorrhage Segmentation with Deep Learning

Prompt diagnosis, monitoring and treatment of intracranial hemorrhage are essential to avoid brain structure damage. This task is made possible by recent AI-based advancements. Image analysis algorithms based on deep learning can rapidly estimate the hemorrhage volume and measure the edematous area around it. Automated image processing algorithms produce a 3D model of the ventricular system, which can ultimately be useful in guidance of the neurosurgeon during brain procedures.

Dental Segmentation with Deep Learning

Dental problems affect people of all ages and ethnic groups, and are common worldwide. With many patients suffering from tooth decay, orthodontic issues and even

Lung vasculature segmentation

Lungs vasculature has a major part in blood oxygenation. The complicated branches of arteries and veins, accompanied by the intricate bronchial tree are in charge

Lung Tumor Segmentation

Lung cancer is the most common cancer related mortality cause among men, and second in women worldwide. Primary lung cancer is usually divided into two

Tissue Analysis with AI

New AI technologies by RSIP Vision are very powerful in analysis of tissues and histopathology. This complex task, which has been haunting for years the medical community, has now a very practical solution: deep learning gives very fruitful results to several challenges, like the segmentation of cells and nucleus and the classification of the cells according to the detected pathologies.

Detection and Tracking of Tumors

RSIP Vision’s oncology software combines detection of lesions and tumors in the human body with tracking those findings along CT scans performed during the research: in particular lung, lymph nodes and liver. These tools enable a quick and accurate assessment of the efficacy of the new treatment.

Automated RECIST Measurement

The golden standard for measuring tumors is the RECIST score. RSIP Vision developed an automated module to accurately measure the RECIST score from CT scans as well as the exact 3D volume of the tumors. Changes in volume are a reliable measure of the progression or remission of the tumor, enabling to evaluate the responsiveness of the treatment in a relatively short time.

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