Updates in Dermatopathology: Emerging Trends in Diagnosis and Classification

Abstract

Developments in dermatopathology are transforming clinical practice profoundly by constantly changing disease categorization and diagnostic methods. This review highlights key developments that have shaped modern dermatopathology, including the use of digital pathology, artificial intelligence (AI) applications, changing categorization schemes, and molecular profiling. By using methods such as next-generation sequencing, molecular profiling clarifies complex genetic changes that underlie skin conditions, enabling accurate diagnosis and focused treatment plans. Digital pathology systems are transforming the field of diagnostics through the provision of remote consultations, cooperation, and improved diagnosis accuracy. Artificial intelligence (AI) applications show promise in automating picture processing, improving diagnosis accuracy, and optimising workflow. Molecular, histological, and clinical data are integrated via evolving classification systems, which improve disease categorization and prognostication. The synergy of knowledge created by interdisciplinary interactions between dermatologists, pathologists, technologists, and molecular biologists promotes holistic approaches to patient treatment and disease understanding. When taken as a whole, these discoveries represent a paradigm change in dermatopathology, opening the door to applications in precision medicine and individualised patient care.