Clinical trials: Prediction Model
Heart Failure, Heart Failure With Reduced Ejection Fraction
AI-ECG for Time-Resolved Prediction of HFrEF
This study aims to develop and validate a deep learning-based electrocardiogram (ECG) model for predicting the future risk of heart failure with reduced ejection fraction (HFrEF).
- Conditions
- Heart Failure, Heart Failure With Reduced Ejection Fraction, Left Ventricular Dysfunction, Cardiac Remodeling
- Trial name
- NCT07519434
- Where
- China
- Volunteers
- 286,709 people, healthy volunteers welcome
- Sponsor
- Shanghai Zhongshan Hospital
Moyamoya Disease, Intracranial Hemorrhages
5T MRI and Metabolomics-Based Hemorrhage Risk Prediction in Moyamoya Disease
Intracranial hemorrhage is a leading cause of death and disability in patients with moyamoya disease (MMD), yet clinically available tools for predicting long-term hemorrhage risk are lacking.
- Conditions
- Moyamoya Disease, Intracranial Hemorrhages, Stroke
- Trial name
- NCT07781579
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Beijing Hospital
Carotid Stenosis
Risk Prediction Model for Cerebrovascular Events in Carotid Artery Stenosis
Atherosclerotic carotid artery stenosis is a major cause of stroke, and early identification of high-risk patients combined with surgical intervention can significantly reduce stroke risk.
- Trial name
- NCT06452173
- Testing
- Plasma, carotid high-resolution magnetic resonance imaging
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Beijing Tiantan Hospital
Acute Pancreatitis, Pancreatitis Due to Gallstones
Machine learnINg for the rElapse Risk eValuation in Acute Biliary Pancreatitis.
The MINERVA (Machine learnINg for the rElapse Risk eValuation in Acute biliary pancreatitis) project stems from the need in the clinical practice of taking an operational decision in patients that are admitted to the hospital…
- Conditions
- Acute Pancreatitis, Pancreatitis Due to Gallstones, Pancreatitis Biliary, Pancreatitis Relapsing
- Trial name
- MINERVA (NCT06124989)
- Testing
- MINERVA Machine Learning model
- Where
- Italy
- Volunteers
- 430 people
- Sponsor
- University of Cagliari
GDM
Multiomics-based Prediction Model for GDM
A prospective cohort study was conducted to :1. explore the relative biomarkers of related with the occurence and development; 2. develop a multiotimics prediction model for GDM.
- Trial name
- NCT05078697
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Peking Union Medical College Hospital
Critical Illness
Validation of Prediction Model of Vitamin D Deficiency
Many studies have pointed out that patients with vitamin D deficiency have a longer stay in the intensive care unit and a poor prognosis.
- Trial name
- NCT05094388
- Testing
- Admitted to intensive care units
- Where
- Taiwan
- Volunteers
- 400 people
- Sponsor
- National Taiwan University Hospital
Hip Fracture, MACE
AI-Based Risk Factor Analysis and Prediction Model of MACE in Elderly Hip Fracture Patients Postoperatively
This is a multicenter ambispective observational cohort study led by Beijing Anzhen Hospital, Capital Medical University, with China-Japan Friendship Hospital serving as the external validation center.
- Conditions
- Hip Fracture, MACE, Elderly, Perioperative Complications
- Trial name
- NCT07709377
- Where
- 2 sites in China
- Volunteers
- 600 people
- Sponsor
- Beijing Anzhen Hospital
Acute Myocardial Infarction (AMI)
Construction and Analysis of a Risk Prediction Model for Acute Myocardial Infarction Based on Spatiotemporal Heterogeneous Data
Acute myocardial infarction (AMI), as the leading cause of death among cardiovascular diseases, has its diagnosis and treatment efficiency directly affecting survival.
- Trial name
- NCT07496931
- Testing
- Acute Myocardial Infarction Risk Prediction Model
- Volunteers
- 3,000 people
- Sponsor
- Beijing Anzhen Hospital
Blood Transfusion Complication
To Establish a Blood Transfusion Prediction Model for Liver Transplantation Patients Based on PBM
Based on the principle of patient blood management, this study aims to reduce the risk of blood transfusion in allogeneic liver transplantation patients, to ensure the safety of blood transfusion, and to provide new methods and…
- Trial name
- NCT03814772
- Testing
- Liver transplant
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- The Third Xiangya Hospital of Central South University
Pulmonary Nodules
Multicenter Prospective Validation of AI Models for Malignancy Risk Prediction in Pulmonary Nodules
This multicenter prospective diagnostic accuracy study will compare the performance of three artificial intelligence (AI) models (MVCS, LungDoc, and a United Imaging AI model) for predicting the malignancy risk of pulmonary…
- Trial name
- NCT07727122
- Where
- 5 sites in China
- Volunteers
- 3,000 people
- Sponsor
- Guangdong Provincial People's Hospital
The Aim of This Project is to Develop and Validate NTCP-models for Complications After nCRT (and Surgical Resection)
Prediction Models for Complications After CRT in Esophageal Cancer
The aim of this project is to develop and validate NTCP-models for complications after nCRT (and surgical resection), that can be uses for model-based dose optimization for PhRT and PRT, and for model-based selection for PRT, in…
- Trial name
- MODELS (NCT06366828)
- Testing
- retrospective
- Where
- 8 sites in Netherlands
- Volunteers
- 2,000 people
- Sponsor
- University Medical Center Groningen
Gastric Cancer, Omental Metastasis
Prediction Model of Occult Omental Metastasis in Patients With Gastric Cancer
A complete omentectomy is typically recommended during radical total gastrectomy for gastric cancer, though its impact on survival remains unclear.
- Trial name
- NCT06405009
- Testing
- Without any intervention, we only divided gastric cancer patients into two groups based on postoperative pathology, and analyzed their basic characteristics and risk factors
- Where
- China
- Volunteers
- 450 people
- Sponsor
- Northern Jiangsu People's Hospital
Recurrent Lumbar Disc Herniation
The Prediction of Recurrence Lumbar Disc Herniation At L5-S1 Level Through Machine Learning Models Based on Endoscopic Discectomy Via the Interlaminar Approach
What Was the Study About? This study focused on improving the care of patients with a specific type of back problem called lumbar disc herniation at the L5-S1 level.
- Trial name
- NCT06833099
- Testing
- VAS Point and Imaging Examination
- Where
- China
- Volunteers
- 309 people
- Sponsor
- Jinyu Chen
Hepatocellular Carcinoma (HCC)
HCC Risk Prediction Model Based on Multimodal Data in Chronic Hepatitis B
The investigators propose to construct and validate an early HCC risk prediction model in a multicenter retrospective cohort of hepatitis B-related fibrosis/cirrhosis patients, using multimodal data encompassing longitudinal…
- Trial name
- NCT07780357
- Testing
- No intervention (observational study)
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Beijing Friendship Hospital
Endovascular Therapy, Brain Edema
Early Identification of Malignant Brain Edema in laRge Artery oCclusive Stroke After Endovascular Therapy (EMBRACE Study)
To design and validate a predictive model for malignant brain edema after endovascular thrombectomy.
- Conditions
- Endovascular Therapy, Brain Edema, Prediction Model, Ischemic Stroke
- Trial name
- EMBRACE (NCT06451887)
- Where
- China
- Volunteers
- 1,950 people
- Sponsor
- Zhejiang Provincial People's Hospital
Machine Learning
Prediction of Risk Factors for Adverse Events After Head and Neck Vascular Recanalization Surgery Based on Machine Learning Models
Prediction of risk factors for adverse events after head and neck vascular recanalization surgery based on machine learning models
- Trial name
- NCT06120478
- Testing
- observe
- Where
- China
- Volunteers
- 1,300 people
- Sponsor
- Tang-Du Hospital
Graft Rejection, Kidney Transplantation
Artificial Intelligence Model for Renal Allograft Rejection Identification, Lesion Quantification and Rejection Risk Prediction Based on Prospective Renal Transplant Pathology and Clinical Multidimensional Data
This prospective research collects leftover kidney biopsy tissue slides and matching routine clinical data from patients who received kidney transplants and underwent standard kidney puncture biopsy at Zhejiang University School…
- Conditions
- Graft Rejection, Kidney Transplantation, Glomerulonephritis, Polyomavirus Infections
- Trial name
- NCT07741552
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Chen Dajin
Stroke
External Validation of Two Prediction Models for Independent Gait After Stroke
Regaining independent gait is one of the main goals in stroke rehabilitation and early prediction of gait outcome is important to guide discharge planning at acute stroke units, design rehabilitation and inform patients and…
- Trial name
- REPEAT (NCT05039047)
- Testing
- Standard stroke acute care and rehabilitation
- Where
- Switzerland
- Volunteers
- 149 people
- Sponsor
- Janne Veerbeek
NSCLC (Non-small Cell Lung Cancer), Artificial Intelligence (AI)
Artificial Intelligence-based Model for the Prediction of Occult Lymph Node Metastasis and Improvement of Clinical Decision-making in Non-small Cell Lung Cancer
This nationwide, multicenter observational study aims to develop and validate a multimodal artificial intelligence (AI) model for detecting occult lymph node metastasis in early-stage non-small cell lung cancer (NSCLC) patients.
- Conditions
- NSCLC (Non-small Cell Lung Cancer), Artificial Intelligence (AI), Lymphnode Metastasis
- Trial name
- NCT06684418
- Testing
- chest enhanced CT
- Where
- China
- Volunteers
- 6,000 people
- Sponsor
- Fudan University
Cerebral Hemorrhage, Prognosis
Study on the Prognostic Prediction Model of Patients With Acute Intracerebral Hemorrhage by Artificial Intelligence
Spontaneous intracerebral hemorrhage(SICH) is the most lethal and disabling stroke. Timely and accurate assessment of patient prognosis could facilitate clinical decision making and stratified management of patients and is…
- Conditions
- Cerebral Hemorrhage, Prognosis, Artificial Intelligence
- Trial name
- NCT05424614
- Testing
- Functional outcome follow-up of patients
- Where
- China
- Volunteers
- 150 people
- Sponsor
- Beijing Neurosurgical Institute