A comparison between manual and artificial intelligence-based automatic positioning in CT imaging for COVID-19 patients.
Yadong GangXiongfeng ChenHuan LiHanlun WangJianying LiYing GuoJunjie ZengQiang HuJinxiang HuHai-Bo XuPublished in: European radiology (2021)
• The AI-based automatic positioning (AP) operation was successful for all patients in our study. • AP method reduced the total positioning time by 28% compared with the manual positioning (MP). • AP method had less patient off-center distance and higher proportion of positioning accuracy than MP method, resulting in 16% radiation dose reduction and 9% image noise reduction in erector spinae.
Keyphrases
- artificial intelligence
- deep learning
- machine learning
- transcription factor
- big data
- end stage renal disease
- pain management
- ultrasound guided
- ejection fraction
- newly diagnosed
- sars cov
- chronic kidney disease
- computed tomography
- prognostic factors
- air pollution
- magnetic resonance imaging
- case report
- contrast enhanced
- magnetic resonance
- chronic pain
- positron emission tomography
- neural network
- image quality
- mass spectrometry
- patient reported
- photodynamic therapy