Pathology and Laboratory Medicine

Digital Imaging and Computational Pathology

The emergence of digital imaging and computational analysis is revolutionizing traditional pathology practices. This session will focus on how whole-slide imaging, artificial intelligence (AI), and machine learning algorithms are being applied to improve diagnostic accuracy and workflow efficiency. Attendees will gain insights into the use of digital pathology platforms for remote consultations, real-time diagnostics, and pathology education. Discussions will include automated image analysis for quantifying histological patterns, identifying malignancies, and predicting disease prognosis. The integration of AI-driven decision-support systems into daily pathology routines is enabling faster turnaround times and enhancing reproducibility in diagnostic interpretations. Presentations will also cover regulatory challenges, data security, and standardization in digital diagnostics. Emphasis will be placed on how computational pathology tools are facilitating research, big data integration, and personalized medicine. This session is ideal for pathologists, laboratory managers, and health IT professionals looking to harness the potential of digital transformation in pathology services and improve diagnostic quality across healthcare settings.