The transition from traditional microscopy to computer-assisted analysis of histological specimens has been made easier. Digital pathology has emerged as a transformational force in the field of diagnostic medicine. This review offers a comprehensive update on the current landscape of digital pathology, covering whole-slide imaging technologies, infrastructure requirements and clinical applications crossing primary diagnosis, telepathology, education and research, alongside the integration of artificial intelligence methodologies. Important implementation problems, such as validation, regulatory processes, data governance, and cost concerns, are also addressed, and we investigate potential future possibilities, such as foundation models, multimodal integration, and applications in settings with limited resources. This review intends to provide pathologists, researchers, and healthcare administrators with a practical framework for navigating the continuous digital transformation of pathology services. This will be accomplished by offering a synthesis of the evidence that is now available.