Publications by authors named "Kangjian Shi"
Article Synopsis
- The study aimed to assess the effectiveness of ultrasound images combined with deep learning to screen for chronic kidney disease (CKD) in patients.
- Researchers analyzed data from 1,049 patients and used convolutional neural networks to develop a screening model that outperformed physicians in diagnosing CKD.
- The model showed significantly higher accuracy than senior physicians for early stages of CKD, demonstrating its potential as a valuable tool in clinical settings.
Background: Artificial intelligence (AI) has been introduced to interpret the panoramic radiographs (PRs). The aim of this study was to develop an AI framework to diagnose multiple dental diseases on PRs, and to initially evaluate its performance.
Methods: The AI framework was developed based on 2 deep convolutional neural networks (CNNs), BDU-Net and nnU-Net.