ASSIST

Automated Structure-based Segmentation method for the Identification and Staging of Tumor aggressiveness

Today, histopathological diagnosis increasingly requires accurate quantification, classification, and structured documentation of findings. ASSIST‘s artificial intelligence supports pathologists in the analysis of digitized slides, providing advanced segmentation, detection, and quantification tools.

Histopathological diagnosis is becoming increasingly challenging and complex

Histopathological diagnosis is not limited to the observation of samples, but increasingly requires accurate quantification, classification, and structured documentation of findings. The growing complexity of oncology cases and the increase in the number of biomarkers to be evaluated place a considerable workload on pathologists, who must ensure accuracy, traceability, and speed in reporting. In this context, traditional manual methods are often slow, subjective, and difficult to scale, negatively impacting the overall efficiency of the department.

ASSIST alongside pathologists

ASSIST is an artificial intelligence-based product designed to support pathologists in the analysis of digitized slides, providing advanced segmentation, detection, and quantification tools.
It is designed to increase diagnostic accuracy, reduce variability, and speed up reporting, offering a complete set of automated tools that remain under the control of the professional.

Key features include:

  • Advanced automatic detection and segmentation
  • Sample classification and typing
  • Objective quantification
  • Reporting and clinical traceability

ASSIST Prostate

ASSIST Prostate uses AI models to analyze digital images of prostate tissue stained with H&E.

  • Supports pathologists’ diagnoses and improves tumor classification accuracy.
  • Automatically detects tumor epithelium, distinguishes between benign and malignant areas, and evaluates Gleason patterns (3, 4, 5) on whole images.
  • · Annotations and measurements: Ability to measure areas and distances, excluding unrepresentative areas or artifacts.
  • Automatic extraction of relevant quantitative parameters.
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ASSIST Breast

ASSIST Breast is an artificial intelligence-based analysis system for the evaluation of immunohistochemical biomarkers in normal and tumor breast tissue.

  • Automatic detection and classification of DAB-positive and DAB-negative cells
  • Quantitative analysis of biomarkers:
    ER, PR, Ki-67: calculation of the percentage of positivity with stratification of staining intensity (weak, moderate, intense)
  • The system automatically generates standardized reports, providing the pathologist with objective and reproducible support for the diagnostic evaluation and characterization of breast cancer.
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