Philips launches computational path software

October 10, 2018 0 By CH Unnikrishnan

Royal Philips has launched a new version of TissueMark, an AI-driven application to address most critical primary tumours encountered for molecular research testing. It now supports region-of-interest detection for the majority of molecular testing and helps research labs improve the accuracy of tumour estimation. The new version leverages deep learning AI to aid in prostate and ovarian tumour tissue identification.

The updated TissueMark software now provides tumour sufficiency guidance for lung histology, lung cytology, colon and breast tissue samples in 60 seconds in addition to guidance to whole slide images (WSI) of adenocarcinoma prostate tissue and high-grade serous carcinoma ovarian tissue.

Using a microscope for tumour estimation is subjective and leads to high variability amongst pathologists, according to Philips. By digitizing the tissue slide and analysing the image with computational software and intelligent algorithms, it can better support pathologists’ workflows and help labs enhance quality and reliability, while reducing costs by limiting the number of molecular tests performed with insufficient tumour content.

AI-powered solutions also have great potential to make solutions adaptive to the needs of clinicians to help them further improve patient outcomes.