Head of the Clinical Decision Support Laboratory based on AI technologies, Alexander Alekseevich Biryukov, and pathologist Natalya Valerievna Kretova discussed the development progress and future directions of CDSS for pathologists, aiding doctors in analyzing histological scans for colorectal cancer diagnosis, at the All-Russian Scientific and Practical Conference "Digital Morphological Space: Today and Tomorrow," held on April 18, 2024, at Sechenov University.
Currently, the Laboratory team is conducting an experiment to assess the impact of artificial intelligence on a physician's task of counting lymph nodes with metastases and tumor deposits in colorectal cancer patients. The experiment will demonstrate how the use of CDSS increases a physician's speed and accuracy, as well as how CDSS's accuracy compares to that of a physician.
Currently, CDSS's specificity in identifying healthy lymph nodes is 99%, while its sensitivity in identifying lymph nodes with metastases and tumor deposits is 86%.
Furthermore, the development team plans to expand the application of CDSS to other types of oncological diseases and the analysis of non-oncological biopsy material.
Currently, the Laboratory team is conducting an experiment to assess the impact of artificial intelligence on a physician's task of counting lymph nodes with metastases and tumor deposits in colorectal cancer patients. The experiment will demonstrate how the use of CDSS increases a physician's speed and accuracy, as well as how CDSS's accuracy compares to that of a physician.
Currently, CDSS's specificity in identifying healthy lymph nodes is 99%, while its sensitivity in identifying lymph nodes with metastases and tumor deposits is 86%.
Furthermore, the development team plans to expand the application of CDSS to other types of oncological diseases and the analysis of non-oncological biopsy material.