Prediction
Models

The ability to simultaneously analyze multiple pathology slides significantly reduces the time required to process large datasets. 

This feature is particularly beneficial for pathologists handling high volumes of data, greatly enhancing the efficiency of the analysis process.

The AI calculates and displays the probabilities of both Negative and Positive outcomes, reducing unnecessary steps and complexity in the process. This allows pathologists to focus on critical tasks, contributing to more efficient and accurate diagnoses.

This feature also helps predict how a patient will respond to specific treatments, aiding in the selection of the most effective therapy.

The screen intuitively displays the AI-predicted Negative and Positive areas, providing pathologists with valuable insights that contribute to more efficient and accurate predictions. This visual representation enhances usability and supports faster decision-making in diagnosis.

Auto Segmentation identifies the Region of Interest (ROI) for analysis, maximizing AI processing speed for large datasets and significantly reducing the time required for the analysis process. By analyzing patient data, it helps predict the likelihood of specific diseases, enabling early detection and preventive measures.