Zorg
Pathology team at Radboudumc — quality control before diagnosis
The pathology team at Radboudumc uses Aiosyn to check digitized tissue slides for issues such as blur and folds before assessment.
About
Radboudumc implemented an algorithm with Aiosyn for quality control of digitized histopathological tissue slides. The system detects issues including blur and tissue folds, and can trigger a slide to be rescanned. Pathologists and laboratory staff then assess and use the images in routine diagnostics.
AI factor
AI assesses image quality for recurring errors. The pathology team decides whether a scan needs to be redone and retains responsibility for the diagnosis.
Sources
Inspiration sourced from AI For Good. Not an Arnaldus customer case.