Development and validation of the artificial intelligence (AI)-based diagnostic model for bronchial lumen identification.

ABSTRACT:

Background

Bronchoscopy is a key step in the diagnosis and treatment of respiratory diseases. However, the level of expertise varies among different bronchoscopists. Artificial intelligence (AI) may help them identify bronchial lumens. Thus, a bronchoscopy quality-control system based on AI was built to improve the performance of bronchoscopists.

Methods

This single-center observational study consecutively collected bronchoscopy videos from Shanghai Chest Hospital and segmented each video into 31 different anatomical locations to develop an AI-assisted system based on a convolutional neural network (CNN) model. We then designed a single-center trial to compare the accuracy of lumen recognition by bronchoscopists with and without the assistance of the AI system.

Results

SUBMITTER: Li Y 

PROVIDER: S-EPMC9742630 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature