Assessing the potential of artificial intelligence to enhance colonoscopy adenoma detection in clinical practice: a prospective observational trial

The use of CADe in clinical practice did not increase ADR with statistical significance when compared to colonoscopy without CADe. These findings suggest that the impact of CADe systems in everyday clinical practice are modest.

Authors

Institutions

Publication Details

Journal
Clinical Endoscopy
Published
2024-08-23
DOI
https://doi.org/10.5946/ce.2024.038
Citations
8
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
2.26

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the potential of artificial intelligence to enhance colonoscopy adenoma detection in clinical practice: a prospective observational trial

Magnus Ploug, Suresh Ujjal, Rasmus Krøijer, Søren Nicolaj Rønborg
8 citations
Clinical Endoscopy
Colorectal Cancer Screening and Detection
2.26
article

Assessing the potential of artificial intelligence to enhance colonoscopy adenoma detection in clinical practice: a prospective observational trial

Magnus Ploug, Suresh Ujjal, Rasmus Krøijer, Søren Nicolaj Rønborg
article en
8 citations

Abstract

The use of CADe in clinical practice did not increase ADR with statistical significance when compared to colonoscopy without CADe. These findings suggest that the impact of CADe systems in everyday clinical practice are modest.

Clinical EndoscopyVol. 57(6)
University of Southern Denmark (DK), Hospital South West Jutland (DK)
Medtronic
Openalex Percentile: Top 10%
Colorectal Cancer Screening and Detection
2.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.