Aiosyn Launches AI-powered Automated Quality Control

Aiosyn, a software company that develops AI-powered pathology software, has launched its first product that assists digital pathology labs across research, diagnostics and pharma to improve their quality control (QC) process. AiosynQC is an AI-powered algorithm that automatically scans for the most common artifacts that occur during the heterogeneous pre-analytical process.

The algorithm of AiosynQC is trained on hematoxylin and eosin (H&E) stained slides. The product helps labs to ensure that only high-quality images are used by pathologists, technicians, and researchers. It can flag cases before presentation to a pathologist, thereby improving the efficiency of the digital pathology workflow by reducing the time that is currently used to manually check for artifacts in whole slide images.

AiosynQC is a modular and flexible software offered as a service solution that can be integrated into existing digital pathology software and deployed through the cloud or on-premise installation. The automated QC is the first product in Aiosyn’s workflow solutions suite. It will be part of a portfolio of deep learning algorithms currently in development for different pathologies for which there is a clear need to improve diagnostic precision and quality.

AiosynQC will be an important foundational layer and we believe that AI-powered workflow solutions are the entry point for the use and adoption of computational pathology algorithms” according to Patrick de Boer, CEO of Aiosyn.

Visit AITechPark for cutting-edge Tech Trends around AI, ML, Cybersecurity, along with AITech News, and timely updates from industry professionals!

Related posts

Advanced AI Solutions Platform SambaNova Systems Appoints First CMO

Business Wire

Librestream’s AI-Driven Worker Platform Showcases at BT’s UK Campus

PR Newswire

Privya raises $6M funding for data privacy code scanning platform

PR Newswire