Aiosyn Webinar: Enhancing digital pathology workflows with AI-powered quality control
Unreadable regions affected by air bubbles on an IHC stained slide image are identified
and highlighted with Aiosyn’s automated QC solution powered by AI.
Aiosyn announces webinar for next month
November 5
4:00 PM CET | 10:00 AM ET | 7:00 AM PT
Join us for our 45-minute webinar where we explore the challenges of manual quality control (QC) in digital pathology and how AI-powered technology can transform this process.
Our AI Engineer, Błażej Dolicki, and sales specialist, Nikolai Born, will discuss how AI enhances manual workflows by simplifying and automating artifact detection. We’ll showcase real-world examples of AiosynQC in action, analyzing digital slides to detect artifacts and demonstrating how it goes from detailed pixel analysis to high-level QC decisions.
Discover the tangible benefits of AiosynQC, including improved quality of clinical diagnostics and reduced time spent on quality control. Learn how our solution is made to be easily integrated with flexible deployment options and tailored sensitivity. Whether you’re looking to streamline QC, ensure high-quality slides, or leverage automation, this webinar will provide you with key insights into how our AiosynQC solution can help you achieve your workflow’s goals.
- Topics to be discussed:
- The limitations of manual quality control in digital pathology
- How AI can enhance the manual process of quality control
- Real-life customer case studies of AiosynQC
- Benefits of AiosynQC
- Integration with existing workflows
SOURCE: Aiosyn
