Von Renteln DanielX

E-posters (15)

Assessing Performance of Open-Source Vision-Language Models for Colorectal Polyp Sizing: A Comparison with Endoscopist Visual Estimation

Endoscopic Polyp Size Measurement Using a Laser-Based Sizing Probe: A Pilot Study 

Digital Microscopy in the Endoscopy Suite: A Reference Standard for Colorectal Polyp Size Measurement

Implementation of a FAIR-Compliant Video Databank for Artificial Intelligence Model Development and Clinical Outcomes Research in Gastrointestinal Endoscopy

Computer assisted polyp detection and mucosal exposure device use in routine clinical practice and its effect on adenoma detection rates

Computer-Aided Adenoma Detection in Routine Colonoscopy: A Concealed Multicenter Randomized Trial

Establishing Reference Standards for Colorectal Polyp Size: Validation of Caliper Based Size Measurement

International Expert Consensus Recommendations for the Standardized Pathological and Clinical Assessment of Submucosal Invasion in Endoscopic Submucosal Dissection

Large language model-driven analysis and report generation of endoscopy videos - a pilot study

Quantifying the Bias of Visual Polyp Size Estimation in Colonoscopy: A Prospective Comparison Against Objective Measurement Standards

Total examination time in upper gastrointestinal endoscopy and lesion detection in a large North American cohort

When AI Meets Expertise: Adoption and Reinvention of Computer-Aided Polyp Detection (CADe) in Endoscopy

Adenoma detection rates in IBD surveillance colonoscopy: a prospective study

Artificial Intelligence and Screening Colonoscopy: A Value of Information Analysis

Artificial intelligence as the new reference standard for accurate polyp size measurement