5 November 2024 · Online, on demand
Watch our 45-minute webinar on the challenges of manual quality control (QC) in digital pathology, and how AI-powered technology changes that process.
Our AI engineer, Błażej Dolicki, and sales specialist, Nikolai Born, discuss how AI enhances manual workflows by simplifying and automating artifact detection. We show real-world examples of AiosynQC analysing digital slides to detect artifacts, going from detailed pixel analysis to high-level QC decisions.
The webinar covers the tangible benefits of AiosynQC, including diagnostic quality and the time spent on quality control, and how the solution integrates with existing workflows through flexible deployment options and tailored sensitivity.
Topics 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
Attending
- Błażej Dolicki, AI Engineer
- Nikolai Born, Sales Specialist
- Anna Correas Grifoll, Marketing & Communications Manager
