Publications by authors named "Yingnan Zuo"
Article Synopsis
- The study addresses the challenge of diagnosing tracheobronchopathia osteochondroplastica (TO), a rare disease, since many young doctors may struggle to identify it through bronchoscopy.
- Researchers developed an artificial intelligence (AI) model using bronchoscopic images to accurately distinguish TO from other similar airway diseases such as amyloidosis and tumors.
- Results showed the AI model achieved a high accuracy of 89.2% in detecting TO among multinodular lesions, and an external validation confirmed the model's effectiveness with an accuracy of 89.8% in diagnosing patients with TO.
Background: Artificial intelligence (AI) technology has been used for finding lesions gastrointestinal endoscopy. However, there were few AI-associated studies that discuss bronchoscopy.
Objectives: To use convolutional neural network (CNN) to recognize the observed anatomical positions of the airway under bronchoscopy.