Title: Opportunities and risks of AI integration in daily routine in pathology today

Biography:

Sergey Biniaminov graduated with a diploma in Economics and Political Science at Karlsruhe Institute of Technology (KIT) and now he is managing shareholder and data scientist at HS Analysis GmbH, based in Karlsruhe. He is an expert in creating deep learning models and his passion is to understand the AI processes and integrate them into daily routine in pathology.

Abstract

For diagnostic purposes, it’s important that microscopy images are not just images, diagnosis reports are not just unstructured information, and molecular data are not just separated from results of image analysis. Doctors and pathologists would be supported best, if suspicious or malicious structures of tissue samples are identified at the early stages. In that case the doctors be able to apply their expert knowledge more efficiently and to focus on the illness itself. This is exactly, what the HS Analysis GmbH does, when it comes to automated image analysis, structure reports and bring them with knowledge from molecular data. HS Analysis is working closely with different partners together, when digitization, digitalization and automation in pathology is going to be a part of daily routine for pathologists. With the help of modern AI and Deep Learning supported methods, Sergey Biniaminov, CEO of HS Analysis, believes to seriously inspire diagnosis and research areas such as the early detection and therapy of cancer.