Digital Pathology and Artificial Intelligence in Histomorphological Analysis

This chapter explores the rapidly advancing landscape of computational pathology, covering the development and clinical translation of whole-slide imaging systems, deep learning–based image analysis algorithms, and AI-assisted diagnostic decision support tools. It evaluates landmark validation studies demonstrating AI performance in tumor grading, mitotic figure detection, and prognostic stratification, while also addressing critical issues of algorithmic bias, model interpretability, and the regulatory and ethical dimensions of deploying AI systems in a diagnostic setting.