AI-powered microscopic analysis for precise skin disease diagnosis
Transform skin pathology with AI-powered slide analysis, pattern recognition, and integrated clinical-pathological correlation for definitive diagnoses.
Whole slide imaging with AI-powered pattern recognition and automated cell counting algorithms.
Advanced neural networks for identifying subtle histological patterns and architectural features.
High-sensitivity algorithms for melanoma, BCC, SCC, and other cutaneous malignancies.
Seamless correlation of clinical images with histopathological findings for comprehensive diagnosis.
Automated interpretation of special stains and immunohistochemical markers with quantitative scoring.
Integration with molecular testing results for personalized treatment recommendations.
High-resolution whole slide imaging with automated quality control and region of interest detection
Deep learning algorithms analyze tissue patterns, cellular features, and architectural arrangements
Integration with clinical photos, patient history, and dermoscopy findings for comprehensive diagnosis
Automated report creation with standardized terminology, staging information, and treatment guidance
Diagnostic accuracy
Faster turnaround
Melanoma detection
IHC accuracy
Join dermatopathologists using AI for precise diagnoses
Digital pathology • AI analysis • Integrated reporting