Beijing, China Clinical Trials
A listing of Beijing, China clinical trials actively recruiting patients volunteers.
Found 2,316 clinical trials
POASAC Study (Preoperative Anemia Severity and Classification Study)
The goal of this observational study focuses on the effect of different preoperative anemia status on perioperative complications in patients under moderate- to high-risk surgery. Different anemia types conclude iron-deficiency anemia(IDA), anemia of chronic disease/anemia of inflammation(ACD/AI), and combined anemia.The main question it aims to answer is whether there is …
Long-term Evaluation of Gestational Endocrine & Metabolic Dynamics
Gestational diabetes mellitus (GDM) is the most common complication and metabolic disorder during pregnancy, with clear risks to both the mother and fetus. In recent years, the long-term chronic diseases and poor prognosis in GDM women after delivery, as well as the risk of obesity and metabolic disorders in their …
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.
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 …
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 …
Risk Factors for Stroke or Systemic Embolism in Chinese Patients with Non-Valvular Atrial Fibrillation Registry
This study is aimed to validate the existing stroke risk stratification model for patients with atrial fibrillation (AF) (CHA2DS2-VASc Score, CHADS2 Score, ATRIA score, ABC score, etc.) and establish a new stroke risk assessment model using a nationwide AF -specific registry in China.
Adjuvant Therapy for Intermediate Risk HER2 Positive, Lymph Node Negative Early Breast Cancer With Chemotherapy Combined Target Therapy
Human epidermal growth factor receptor 2 (HER2) positive breast cancer is a molecular subtype with high malignancy and easy recurrence and metastasis. The emergence of HER2 targeted drugs has greatly improved the prognosis and survival of such patients. At present, for HER2 positive breast cancer patients with negative lymph nodes, …
Research on Key Technology Development and Clinical Application of Small Interactive Spinal Endoscopic Surgery Robot
The aim of the study was to investigate the correlation between the extent of decompression and patient follow-up metrics at 1 year postoperatively by analysing data from a real-world, multicentre cohort of patients, and to clarify the precise extent of decompression for endoscopic spine surgery.
