Computer-aided Detection of Polyps Does Not Improve Colonoscopist Performance in a Pragmatic Implementation Trial

Adenoma and Sessile Serrated Lesion Detection Rates at Screening Colonoscopy for Ages 45-49 Years vs. Older Ages Since the Introduction of New Colorectal Cancer Screening Guidelines

(2022) Uri Ladabaum et al.   Clinical Gastroenterology and Hepatology

Impact of Artificial Intelligence on Miss Rate of Colorectal Neoplasia

(2022) Michael B. Wallace et al.   GASTROENTEROLOGY

Association of Physician Adenoma Detection Rates With Postcolonoscopy Colorectal Cancer

(2022) Joanne E. Schottinger et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Artificial intelligence- aided colonoscopy does not increase adenoma detection rate in routine clinical practice.

(2022) Idan Levy et al.   AMERICAN JOURNAL OF GASTROENTEROLOGY

Developing and Deploying an Automated Quality Reporting System in Your Practice

(2021) Uri Ladabaum et al.   AMERICAN JOURNAL OF GASTROENTEROLOGY

Adenoma and Serrated Lesion Detection by Colonoscopy Indication: The ADR-ESS (ADR Extended to all Screening/Surveillance) Score

(2021) Uri Ladabaum et al.   Clinical Gastroenterology and Hepatology

Artificial intelligence and colonoscopy experience: lessons from two randomised trials

(2021) Alessandro Repici et al.   GUT

Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial

(2020) Alessandro Repici et al.   GASTROENTEROLOGY

New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection

(2019) Cesare Hassan et al.   GUT

Designing Difference in Difference Studies: Best Practices for Public Health Policy Research

(2018) Coady Wing et al.   Annual Review of Public Health

Making sense of implementation theories, models and frameworks

(2015) Per Nilsen   Implementation Science