Clinical trials: Prediction Model
Congenital Heart Disease
3D Airway Model for Pediatric Patients
To determine the correct size of endotracheal tubes (ETT) for endotracheal intubation of pediatric patients is no menial task. Although new methods have been investigated to determine ETT size, and the three-dimensional (3D)…
- Trial name
- NCT04814888
- Testing
- intubation with a cuffed ETT by a printed 3D airway model
- Where
- South Korea
- Volunteers
- 35 people
- Sponsor
- Pusan National University Yangsan Hospital
Coronary Artery Disease (CAD) (E.G., Angina, Myocardial Infarction, and Atherosclerotic Heart Disease (ASHD))
Coronary Imaging and Metabolic Indicators-Based Risk Prediction Model for Coronary Artery Disease(CMI-RiskCAD)
The primary design of this study is an ambispective cohort study. We plan to integrate coronary imaging features (including parameters derived from Coronary Computed Tomography Angiography(CCTA) and coronary angiography(CAG))…
- Trial name
- CMI-RiskCAD (NCT07353762)
- Where
- China
- Volunteers
- 10,960 people
- Sponsor
- Beijing Anzhen Hospital
Sepsis, Early Diagnosis
The Biomarker Prediction Model of Septic Risk in Infected Patients
Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to an infection. Sepsis is associated with high mortality because of the complex mechanisms.
- Conditions
- Sepsis, Early Diagnosis, Biomarkers
- Trial name
- NCT05095324
- Where
- China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Beijing Tsinghua Chang Gung Hospital
Colorectal Cancer, Lung Metastases
AI Prediction Model and Risk Stratification for Lung Metastasis in Colorectal Cancer
Background: To assist clinicians with diagnosis and optimal treatment decision-making, we attempted to develop and validate an artificial intelligence prediction model for lung metastasis (LM) in colorectal cancer (CRC) patients.
- Trial name
- NCT05816902
- Testing
- The location of the patient's treatment
- Volunteers
- 2,779 people
- Sponsor
- Peking Union Medical College
Dementia Alzheimers
Dementia Risk Prediction Model: Development and Validation
At present, there is no treatment for dementia that changes the course of the disease. However, it is now understood that the proteins in dementias such as Alzheimer's disease are present years before someone develops symptoms of…
- Trial name
- NCT03943641
- Testing
- This is not an intervention study
- Where
- United Kingdom
- Volunteers
- 400,000 people, healthy volunteers welcome
- Sponsor
- University of Edinburgh
Bowel Preparation, Colonoscopy
Validation of a Prediction Model for Inadequate Bowel Preparation
We have developed a novel inadequate bowel preparation prediction model based on a systematic review and meta-analysis. The goal of this multicenter observational study is to validate the accuracy of this model.
- Trial name
- NCT06438237
- Testing
- Bowel preparation before colonoscopy
- Where
- China
- Volunteers
- 2,360 people, healthy volunteers welcome
- Sponsor
- General Hospital of Shenyang Military Region
Brain Tumors
SIMPLIFication of Care Pathways for Patients With Rare Brain Tumors Through Artificial Intelligence
This study focuses on rare brain tumors, which are heterogeneous entities with different morphological, biological, and clinical characteristics.
- Trial name
- SIMPLIF-AI (NCT06878469)
- Testing
- RehaCom
- Where
- 2 sites in Italy
- Volunteers
- 200 people
- Sponsor
- Fondazione I.R.C.C.S. Istituto Neurologico Carlo Besta
Colorectal Cancer Control and Prevention
Prediction Model of Colorectal Adenoma Recurrence-Carcinogenesis Risk With TCM-WM Multimodal Feature Fusion
This project focuses on developing a risk prediction model for the recurrence and malignant transformation of colorectal adenomas by integrating multimodal features from both Traditional Chinese Medicine (TCM) and Western…
- Trial name
- NCT07611266
- Where
- China
- Volunteers
- 3,000 people
- Sponsor
- Beijing Friendship Hospital
Early Breast Cancer
Artificial Intelligence (AI) - Based Models for Biomarkers Prediction
Despite the improvements in therapeutic approaches, breast cancer remains the most commonly occurring cancer and leading cause of cancer death in women worldwide.
- Trial name
- NCT07842068
- Volunteers
- 3,648 people
- Sponsor
- Hellenic Cooperative Oncology Group
Sepsis, Prognostic Model
Artificial Intelligence Prognostic Model for Sepsis Based on Time Series Analysis
Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. It is one of the leading causes of death and disability worldwide, with an inpatient mortality rate of 10-20%.
- Conditions
- Sepsis, Prognostic Model, Artificial Intelligence, Individuality
- Trial name
- NCT06724120
- Testing
- No interventions
- Where
- China
- Volunteers
- 3,641 people
- Sponsor
- West China Hospital
Urinary Tract Infections
Application of a Prediction Model for Directing Antibiotic Use in the Treatment of Urinary Tract Infection in an Ambulatory Setting
Urinary tract infection (UTI) is when bacteria enter the urinary system and cause an infection. UTIs cause symptoms including burning when peeing, a feeling of an increased urge to pee, and cloudy or strong-smelling urine.
- Trial name
- NCT06976125
- Testing
- Decision Aid-prediction model
- Where
- United States
- Volunteers
- 47 people
- Sponsor
- University Hospitals Cleveland Medical Center
Artificial Intelligence (AI), Machine Learning
Development and Pre-validation of a Machine Learning-based Prediction Algorithm for Early Functional Recovery in Patients Undergoing Hip and Knee Replacement Surgery
The goal of this observational study is to develop and pre-validate a machine learning algorithm to predict early recovery of mobility in patients undergoing hip or knee joint replacement surgery.
- Conditions
- Artificial Intelligence (AI), Machine Learning, Joint Replacement, Predictive Model
- Trial name
- FISIO_IA (NCT07333560)
- Testing
- Predictive Model for Early Mobility Recovery and Length of Stay
- Where
- 2 sites in Italy
- Volunteers
- 943 people
- Sponsor
- Istituto Ortopedico Rizzoli
Acute Kidney Failure, Artificial Intelligence (AI)
Assessment of AI Prediction Models in Prediction of Acute Kidney Injury in Critical Patients
The assessment of AI -based prediction models in detecting AKI early in critically ill patients. Specifically, the aim is to evaluate the model's ability to predict the onset of AKI before it clinically manifests allowing for…
- Trial name
- NCT06857188
- Volunteers
- 1,000 people
- Sponsor
- Assiut University
Stroke, Acute
Development and Validation of the Prediction Model for Cognitive Impairment
According to the "Chinese Stroke Report" released in 2020, the incidence of stroke in China is 1114.8/100,000, acute ischemic stroke (AIS) accounts for 70% to 80% of the total number of stroke population, and elderly stroke…
- Trial name
- NCT05465980
- Volunteers
- 496 people
- Sponsor
- Shenzhen Second People's Hospital
Uveitis
Development of AI Model for Uveitis Progression and Prognosis
Uveitis is a recurrent inflammation of the eye that can lead to vision loss with various and complicated etiologies. There are many difficulties in uveitis management due to the requirement of long-term monitoring and treatment.
- Trial name
- NCT04705103
- Volunteers
- 450 people
- Sponsor
- Sun Yat-sen University
Postoperative Delirium, Heart Valve Diseases
Transcranial Doppler and Artificial Intelligence Prediction of Postoperative Delirium in Heart Valve Surgery
Postoperative delirium is a frequent complication after cardiac surgery. This prospective observational study will evaluate whether cerebral blood flow velocity measured by transcranial Doppler before and during elective heart…
- Trial name
- NCT07858578
- Where
- Turkey (Türkiye)
- Volunteers
- 120 people
- Sponsor
- Osman Sila Aydin
Stroke
Risk Prediction of Carotid Endarterectomy by Vascular Ultrasound Evaluation
Carotid endarterectomy (CEA) is one of the surgical treatment methods for the reconstruction of arterial stenosis or occlusion. Perioperative stroke, cerebral hemorrhage,hyperperfusion syndrome and death are main complications of…
- Trial name
- NCT03785626
- Testing
- CEA surgery
- Where
- China
- Volunteers
- 1,498 people
- Sponsor
- Xuanwu Hospital, Beijing
Helicobacter Pylori Infection, Resistant Infection
One Sequencing Find All for Helicobacter Pylori Infection
The aim of this study is to Identify antibiotic resistance gene mutations in Helicobacter pylori (HP) and genetic diversity of drug metabolism for antibiotics and proton pump inhibitors (PPIs) in patients with HP infection using…
- Trial name
- NCT03837990
- Testing
- Helicobacter Pylori eradication therapy
- Where
- South Korea
- Volunteers
- 60 people
- Sponsor
- Seoul National University Hospital
Crohn's Disease, Intestinal Tuberculosis
Development of a Prediction Model for Differential Diagnosis Between Intestinal Tuberculosis and Crohn's Disease
The aim of this study is to develop a scoring system and a prediction model for differential diagnosis between intestinal tuberculosis and Crohn's disease.
- Trial name
- NCT01392365
- Where
- South Korea
- Volunteers
- 117 people
- Sponsor
- Asan Medical Center
Ovarian Cancer
Identification of Risk Factors and Construction of Prediction Model for Postoperative Intestinal Anastomotic Leakage in Ovarian Cancer
This study was a multicenter, retrospective cohort study. Although advancements in surgical techniques have mitigated the incidence of intestinal anastomotic fistula, complete avoidance remains elusive.
- Trial name
- NCT06458361
- Testing
- Type of bowel resection, surgical complexity score, intraoperative blood loss, perioperative erythrocyte transfusion, type of anastomosis
- Where
- China
- Volunteers
- 401 people
- Sponsor
- Zhongda Hospital