A pilot evaluation of the artificial intelligence system CAD-EYE to optically characterise lesions in inflammatory bowel disease surveillance

CAD-EYE demonstrated its utility in IBD surveillance with excellent accuracy in the characterisation of lesions, including inflammatory pseudopolyps. Larger studies are required to confirm these findings, particularly for flat dysplasia.

Authors

Institutions

Publication Details

Journal
Therapeutic Advances in Gastrointestinal Endoscopy
Published
2025-08-01
DOI
https://doi.org/10.1177/26317745251363517
Citations
1
Primary Topic
Inflammatory Bowel Disease
Type
article
Field-Weighted Citation Impact
1.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A pilot evaluation of the artificial intelligence system CAD-EYE to optically characterise lesions in inflammatory bowel disease surveillance

Kannan Venugopal, Shankar Menon, Sherman Picardo, Kenji So et al.
1 citations
Therapeutic Advances in Gastrointestinal Endoscopy
Inflammatory Bowel Disease
1.82
article

A pilot evaluation of the artificial intelligence system CAD-EYE to optically characterise lesions in inflammatory bowel disease surveillance

Kannan Venugopal, Shankar Menon, Sherman Picardo, Kenji So, Krish Ragunath, Wendy Cheng
article en
1 citations

Abstract

CAD-EYE demonstrated its utility in IBD surveillance with excellent accuracy in the characterisation of lesions, including inflammatory pseudopolyps. Larger studies are required to confirm these findings, particularly for flat dysplasia.

Therapeutic Advances in Gastrointestinal EndoscopyVol. 18
Curtin University (AU), Royal Perth Hospital (AU)
Openalex Percentile: Top 13%
Inflammatory Bowel Disease
1.82
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.