👉 Pathology computing encompasses the integration of computational methods, algorithms, and technologies into the field of pathology to enhance diagnostic accuracy, efficiency, and research capabilities. It involves the use of advanced tools such as artificial intelligence (AI), machine learning, and data analytics to process and interpret vast amounts of pathological data, including histopathological images, genomic sequences, and clinical information. These technologies enable pathologists to identify patterns, detect subtle abnormalities, and make more precise diagnoses, often leading to earlier detection and better patient outcomes. Additionally, pathology computing facilitates data sharing and collaboration across institutions, supporting research and the development of new diagnostic markers and therapeutic strategies. By automating routine tasks and providing decision support, pathology computing also helps alleviate the workload of pathologists, allowing them to focus on more complex and critical cases.
