الملخص

The use of Artificial Intelligence (AI) in medical pathology is revolutionizing disease diagnosis, especially through the analysis of digital histological slides. Traditional slide examination, while effective, is time-consuming and subject to variability. AI, powered by deep learning and computer vision, enhances diagnostic accuracy, efficiency, and consistency.

       AI has demonstrated high accuracy in identifying cancer and other abnormalities, with models like "Chief" achieving up to 94% accuracy. It also enables quantitative histomorphometry, helping pathologists assess tissue features with precision. Moreover, AI can integrate histopathological data with genomic insights, potentially identifying treatment options without the need for costly genetic testing.

         Automation of routine tasks by AI streamlines workflows, while explainable AI tools like HIPPO ensure transparency in AI decision-making. However, challenges remain, including data quality, computational demands, and the need for regulatory oversight.

          Advancements like PathProfiler improve the diagnostic usability of digital slides, and large-scale models such as Virchow are pushing the boundaries of cancer detection using massive datasets. Overall, AI is becoming an indispensable tool in pathology, driving progress toward more personalized and effective healthcare.