Development and Validation of an Artificial Intelligence Model for Small Bowel Capsule Endoscopy Video Review.

ABSTRACT:

Importance

Reading small bowel capsule endoscopy (SBCE) videos is a tedious task for clinicians, and a new method should be applied to solve the situation.

Objectives

To develop and evaluate the performance of a convolutional neural network algorithm for SBCE video review in real-life clinical care.

Design, setting, and participants

In this multicenter, retrospective diagnostic study, a deep learning neural network (SmartScan) was trained and validated for the SBCE video review. A total of 2927 SBCE examinations from 29 medical centers were used to train SmartScan to detect 17 types of CE structured terminology (CEST) findings from January 1, 2019, to June 30, 2020. SmartScan was later validated with conventional reading (CR) and SmartScan-assisted reading (SSAR) in 2

SUBMITTER: Xie X 

PROVIDER: S-EPMC9284338 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature