Type: Scientific publications, conference 

Current automated cervical cytology screening systems depend heavily on manipulation of glass slides. We developed CytoProcessor, which takes advantage of virtual slide technology and artificial intelligence to detect, to classify and sort Pap smear cells in order to increase sensitivity while saving time in diagnosis making. A gallery of abnormal cell thumbnails is presented to the user in a web application. He can then interact with it to visualize the given cells in the whole slide image. We set out to compare CytoProcessor and the ThinPrep Imaging System. A representative population of 1352 cases was selected from the routine workflow for diagnosis by both methods. All discordances were resolved by a consensus committee. CytoProcessor significantly improves diagnostic sensitivity without compromising specificity. If the CytoProcessor diagnosis had been used,

1.5% of patients would have been missed. In contrast, 4% of patients were missed with the ThinPrep Imaging System (2.6-fold decrease). CytoProcessor is better at cases where abnormal cells are isolated, specifically on LSIL lesions with koïlocytes. With CytoProcessor, 2.2 hours of human resources are saved every 100 slides thanks to the completely digitized workflow and its computer assisted screening tool. Besides, the first pathologist using the solution in a private laboratory in routine testified to go 6 times faster. CytoProcessor is the first of the new generation of remote and automated screening systems, demonstrating improved sensitivity and gains in time. Moreover, the fully digital nature of this solution allows to make diagnosis remotely