Resources
Advancing Real-Time Cancer Detection and Classification in ENT: New Multicenter Study of Zeno AI™ Published in Cancers
Amsterdam - the Netherlands - First published study of a deep learning model for the real-time endoscopic detection and classification of benign and malignant lesions across the glottic,...
WSK Medical Recognised as One of the World’s Top Impact Startups Through Change 100
Amsterdam - the Netherlands - WSK Medical - a pioneer in the development of AI solutions for head and neck oncology - has been named one of the top 100 impact startups to watch in 2026 by Change...
WSK Medical featured in publication ‘A scoping review of TSR analysis in colorectal cancer: implications for automated solutions’
Amsterdam, the Netherlands - WSK Medical - a pioneer in the development of AI solutions for oncology - has published in Frontiers Oncology Review.The publication titled 'A scoping review of TSR...
Revolutionizing Real-Time Cancer Detection and Classification in ENT: CE-MDR Approval of Zeno AI™ by WSK Medical
Amsterdam, the Netherlands - WSK Medical is proud to announce the CE-MDR approval of Zeno AI™, the first artificial intelligence solution on the market designed for the real-time detection and...
Redefining TSR scoring with AI: insights from the data scientists – part 2
Discover how AI is revolutionizing TSR scoring, enhancing clinical decisions, and shaping the future of healthcare. The ARABESC project is the result of a collaborative partnership between WSK...
Redefining TSR scoring with AI: insights from the data scientists
Discover how AI is revolutionizing TSR scoring, enhancing clinical decisions, and shaping the future of healthcare. The ARABESC project is the result of a collaborative partnership between WSK...
Publications
Source MDPI
Year 2026
Real-time-capable detection of glottic, supraglottic and hypopharyngeal lesions using AI during flexible endoscopy
Source Frontiers
Year 2025
A scoping review of TSR analysis in
colorectal cancer: implications
for automated solutions
Source Wiley
Year 2023
Detection of laryngeal carcinoma during endoscopy using
artificial intelligence
Events
