Digital pathology has revolutionized diagnostic workflows by converting histological slides into high-resolution digital images. The integration of AI allows pathologists to analyze large datasets with increased speed, precision, and reproducibility. This workshop covers the fundamentals of AI in pathology, including image preprocessing, feature extraction, and model training for disease detection and classification.
Participants will learn to apply AI algorithms to real-world pathology datasets, develop predictive models, and validate their performance. Emphasis will be placed on practical applications in oncology, hematology, and other clinical specialties, providing insights into improving diagnostic accuracy and enabling personalized patient care.
