High-quality reading of multi-parametric MR (mpMR) images for prostate cancer (PCa) detection can be a time-consuming task. Finding regions of interest that are likely to be worthy of a reader’s close attention can be simplified with the aid of artificially intelligent (AI) software, such as Watson Medical’s Elementary® product line. The software’s unique Malignancy Attention Index (MAI®) technology automatically produces indications of regions potentially worthy of attention, based on standard mpMR input.
This comprehensive software, furthermore, allows in-depth PI-RADS (v 2.1) compatible assessment, reporting and data management to support active surveillance.
With the aid of more AI tooling, such as automated anatomical segmentation and automated selection of relevant mpMR series, the Watson Elementary software creates an exceptionally efficient workflow.
Automated anatomical segmentation and other advanced annotation tooling also greatly facilitates communication with urology departments, that can be given direct digital access to the system’s database and viewing capabilities.
Stuart Southgate, Commercial Manager, adds, “The feature-packed Watson package can now streamline the way you report your mpMR images. Save time with this advanced software. Faster reporting, more reports in a day, a more efficient service”.
Watson Elementary is available from Oncology Systems Limited (OSL).