CTRI/2023/07/055310招募中1 期
Comparision of Deep Learning Reconstruction and Iterative Reconstruction Algorithm for Reducing Radiation Dose in CT Brain and Thorax - NI
试验速览
- 阶段
- 1 期
- 状态
- 招募中
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Interventional
入排标准
入选标准
- •Patients who are referred to CT Brain, CECT Brain, CECT Thorax, and HRCT Thorax by the registered physician will be included in this study with valid informed consent and the procedure explained.
排除标准
- •Patients who are un-cooperative, Patients who are allergic to contrast media, Patients with High BMI, Patients with high creatine and urea level.
研究者
相似试验
招募中
不适用
Feasibility of deep learning reconstruction in abdominal CT: Optimization and validatioPatients with abnormal laboratory test results or upper abdominal symptoms that raised suspicions of abdominal malignancy underwent dynamic CT.JPRN-UMIN000037471Iwate Medical University300
尚未招募
Unknown
Investigation of the usefulness of high-speed coronary MRA imaging with AImyocardial infarction, angina pectorisJPRN-UMIN000053064Ehime University40
已完成
不适用
Performance of Deep Learning for Classifying level of surgical difficulty in impacted mandibular third molarsMandibular third molar which has Horizontal, Mesioangulation, Vertical angulation, and Distoangulation.Mandibular third molarTCTR20221203001Department of Oral and Maxillofacial surgery ,faculty of dentistry chulalongkorn university1,000
尚未招募
不适用
Predicting Difficult Airway Management Through Machine Learning of Patient PhotographKCT0004193Hallym University2,000
已完成
不适用
Comparing effects of Sevoflurane and Desflurane (inhalational anesthetics) in elderly patients undergoing NeurosurgeryCTRI/2020/03/024294MS Ramaiah Medical College78
