_:n6004393b30b04ac5946ecd0c32b7cc5bxb44
<http://schema.org/description>
"While the Gleason score is the most important prognostic marker for prostate\ncancer patients, it suffers from significant observer variability. Artificial\nIntelligence (AI) systems, based on deep learning, have proven to achieve\npathologist-level performance at Gleason grading. However, the performance of\nsuch systems can degrade in the presence of artifacts, foreign tissue, or other\nanomalies. Pathologists integrating their expertise with feedback from an AI\nsystem could result in a synergy that outperforms both the individual\npathologist and the system. Despite the hype around AI assistance, existing\nliterature on this topic within the pathology domain is limited. We\ninvestigated the value of AI assistance for grading prostate biopsies. A panel\nof fourteen observers graded 160 biopsies with and without AI assistance. Using\nAI, the agreement of the panel with an expert reference standard significantly\nincreased (quadratically weighted Cohen's kappa, 0.799 vs 0.872; p=0.018). Our\nresults show the added value of AI systems for Gleason grading, but more\nimportantly, show the benefits of pathologist-AI synergy."
<https://deepai.org/profile/wouter-bulten>