Wision A.I.
Acceptance: Medical Device Innovation Special Review Process for EndoScreener
Live Demo: EndoScreener Polyp Detection, Presented at University Medical Center Hamburg-Eppendorf
Oral Presentation LB13: Colonoscopy with Embedded Deep Learning Computer-aided Detection System Improves Adenoma Detection without Increasing Physician Fatigue: A Prospective Randomized Study
Poster 0221: An Exclusive Performance Validation on Laterally Spreading Tumor and Sessile Serrated Adenoma in Colonoscopy Images and Videos of Deep Learning Polyp Detection System
Booth 032: Simulated Real-time Polyp Detection Demo - EndoScreener
Lecture Presentation 951e: A Real-Time Automatic Deep Learning Polyp Detection System Increases Polyp and Adenoma Detection during Colonoscopy: A Prospective Double-Blind Randomized Study
Oral Presentation 005: Assistance of a Real-time Automatic Colon Polyp Detection System Increases Polyp and Adenoma Detection during Colonoscopy Received National Scholar Award and Travel Grant
Oral Presentation 030: Automated Detection of Precancerous Lesion and Early Esophageal Squamous Cancer Using a Deep Learning Model
Poster Mo1712: Automatic Polyp Detection during Colonoscopy Increases Adenoma Detection: An Interim Analysis of a Prospective Randomized Control Study Poster Sa1904: Effectiveness of a Deep Learning Polyp Detection System for Colonoscopy in Different Colon Segments, with Variable Bowel Preparation Quality
Poster 8132: A Prospective Validation of Deep-learning for Automatic Polyp Detection during Colonoscopy
Oral Presentation 004: A Prospective Validation of Deep-learning for Automatic Polyp Detection during Colonoscopy Received International Award