Artificial Intelligence Solutions in Pharma by RSIP Vision
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. Read More...
AI in Fluoroscopy
Multispectral fluoroscopy is one of the most useful techniques for tissue analysis; this is true also in biopsies. RSIP Vision has developed strong tools to enable cell separation and dot counting for use in this set of analysis.
Classification of Single Cells
Whenever the task of classification of single cells is required, RSIP Vision offers pioneering technologies in both segmentation and classification of cells and nuclei. This module includes also the initial task of locating the best area in the slide that might give the best candidate for the classification. Read More...
RSIP Vision’s modules that detect and classify different pathologies are very helpful in Mohs surgeries, during which lab work is done in parallel with the procedure itself. Fast and reliable information is provided to assess the status of the tissue and decide at once whether it is necessary to remove more cancerous cells or all remaining spared cells are healthy and no additional intervention is needed.