CT-based artificial intelligence prediction model for ocular motility score of thyroid eye disease.
Zijia LiuKexin TanHaiyang ZhangJing SunYinwei LiSijie FangJipeng LiXuefei SongHuifang ZhouGuangtao ZhaiPublished in: Endocrine (2024)
In conclusion, the AI model based on CT images and clinical data successfully realized automatic scoring of ocular motility in TED patients. This approach potentially enhanced the efficiency and accuracy of ocular motility evaluation, thus facilitating clinical application.
Keyphrases
- artificial intelligence
- deep learning
- big data
- machine learning
- biofilm formation
- computed tomography
- end stage renal disease
- image quality
- newly diagnosed
- ejection fraction
- contrast enhanced
- dual energy
- prognostic factors
- convolutional neural network
- optic nerve
- magnetic resonance imaging
- positron emission tomography
- electronic health record
- patient reported
- optical coherence tomography
- candida albicans
- data analysis