Digital Pathology and Artificial Intelligence in Diagnostic Practice

Abstract

Digital pathology has emerged as a transformative innovation in diagnostic medicine. This paper explores the integration of digital imaging and artificial intelligence in pathology practice. Whole-slide imaging allows digitization of tissue samples, enabling remote consultation and advanced image analysis.
The paper discusses how artificial intelligence algorithms assist in pattern recognition, tumor grading, and diagnostic accuracy. Digital pathology enhances workflow efficiency and supports education and research. Challenges related to data security, validation, and ethical considerations are also addressed.
The paper concludes that digital pathology represents the future of diagnostic medicine, offering improved precision, accessibility, and efficiency in pathology services.