Biejing, China Clinical Trials
A listing of Biejing, China clinical trials actively recruiting patients volunteers.
Found 2,216 clinical trials
Value of Super-resolution Ultrasonography in Differentiating Benign and Malignant Lymph Nodes
Lymph nodes are one of the most important components of the human immune system, and superficial lymph node enlargement lacks specificity. Ultrasound examination has been widely used in the diagnosis of lymph node lesions and is of great significance in distinguishing between benign and malignant. However, the two-dimensional and Doppler …
Development and Validation of Delirium Recognition Using Computer Vision in Neuro-critical Patients
This research project employs machine learning algorithms integrated with computer vision, image processing, and pattern recognition technologies to perform digital analysis of facial expression behaviors in neurocritical care patients with delirium. By constructing multidimensional high-level features of delirium, the investigators have established a classification model based on behavioral. The primary …
Chronic Airway Disease and Multimorbidity Cohort
Background: Chronic airway diseases (CAD), including chronic obstructive pulmonary disease (COPD), asthma and bronchiectasis, are highly prevalent and cause serious disease burden. Multimorbidity is recognized to influence treatment decision and prognosis of patients with stable CAD. The impact of multimorbidity on exacerbation CAD is under investigated. Methods: The Chronic Airway …
Deep Learning for Automated Discrimination Between Stage T1-T2 and T3 Renal Cell Carcinoma on Contrast-Enhanced CT
This study aims to develop and validate a contrast-enhanced CT-based deep-learning model for automatic and accurate preoperative discrimination between T1-T2 and T3 renal cell carcinoma. By quantifying the model's diagnostic performance on an independent test set-using AUC, sensitivity, specificity, positive/negative predictive values, and decision-curve analysis-we will establish a decision-support tool …
Automated Bone Age Estimation From Noncontrast Abdominal CT Using Deep Learning
This study is a retrospective analysis that uses abdominal CT scans, which were originally taken for other medical reasons, to estimate bone age. By applying advanced deep learning methods, we aim to develop a tool that can evaluate bone health and detect early signs of osteoporosis without requiring additional scans …
Changes in Etomidate Dosage in Insomnia Patients Undergoing Digestive Endoscopy
To compare the dosage requirement of etomidate during digestive endoscopy between patients with insomnia and those with normal sleep pattern.
Differentiation of Benign and Malignant Pulmonary Nodules by Volatile Organic Compounds in Human Exhaled Breath
The goal of this observational study is to develop an advanced expiratory algorithm model utilizing exhaled breath volatile organic compound (VOC) markers. This model aims to accurately differentiate benign from malignant nodules in individuals harboring pulmonary nodules. The primary objectives it strives to accomplish are: To assess the diagnostic accuracy …
Development and Application of a Thrombosis Risk Prediction Model in Lung Cancer Patients Treated With Immune Checkpoint Inhibitors
The purpose of this observational study is to explore the incidence, risk factors, and relationship with therapeutic outcomes of VTE (venous thromboembolism) and ATE (arterial thromboembolism) associated with immune checkpoint inhibitors (ICIs) therapy. The primary questions it aims to address are: What is the real-world incidence of VTE/ATE in lung …
The Disease Progression of Chinese Axial Spondyloarthritis in a Real-word Cohort Study
An observational, ambispective cohort to learn about the disease progression of axial spondyloarthritis (axSpA) according to the changes from baseline in measures of disease activity, function, and imaging.
AI Detection of Bladder Tumors Under Endoscopy
The goal of this clinical trial is to learn if the AI algorithm can detect bladder tumors better than urologists under cystoscopy. It will also train the AI algorithm for bladder tumor detection. The main question it aims to answer is: Can AI algorithm achieve IOU value, precision, recall, false …
