Summary
The reporting of prostate cases is time-consuming due to a large number of slides per case. Moreover, tumor aggressivity grading (Gleason score) is well known for its subjective nature and high levels of interobserver variability. In this webinar, we will demonstrate a CE-IVD-certified, deep learning-based tool, HALO Prostate AI, developed by Indica Labs in cooperation with University Hospital Cologne and integrated into the HALO AP® platform for digital pathology. HALO Prostate AI is a clinically validated tool that allows for the robust detection of prostate cancer in digitized histological slides of prostate biopsies and its Gleason grading. We will discuss the practical aspects of the implementation of HALO Prostate AI in the diagnostic routine of surgical pathologists.
Learning Objectives
- Get acquainted with HALO Prostate AI
- Learn about practical implementation aspects
- Learn about the multi-institutional validation study results
Dr. YURI TOLKACH
Presenter: Dr. Yuri Tolkach
PRIV.-DOZ., MD, INSTITUTE OF PATHOLOGY OF THE UNIVERSITY HOSPITAL COLOGNE, GERMANY
Yuri Tolkach is a senior attending physician in the Institute of Pathology of the University Hospital Cologne, Germany. He is the Lead for Genitourinary Pathology and Digital Pathology divisions. His research focuses on developing artificial intelligence-based tools for digital pathology, quality control in digital pathology, and molecular characterization of uro-oncological diseases. During his research, Yuri developed a tool for prostate cancer detection and Gleason grading in histological slides with high accuracy.
