Clinical trials: Prediction Model
Anesthesia, Local, Anesthesia
Prediction Models for Cardiovascular and Neurocognitive Disease Risk in the General Population
More accurate and earlier identification of people at risk of cardiovascular disease (CVD) and neurodegenerative diseases (memory, cognition, dementia) through the appropriate use of biomarkers could lead to earlier initiation of…
- Trial name
- CME (NCT05951764)
- Testing
- Non-invasive measurement of arterial stiffness by Pulse Wave Velocity (PWV)
- Where
- France
- Volunteers
- 396 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Infertility
A Prediction Model and Assisted Decision-making System of Fertilization Disorders
The goal of this clinical trial is to test the accuracy of the forecasting system we develop. The main question it aims to answer is: Whether the clinical prediction system predicts the incidence of fertilization disorders…
- Trial name
- NCT05730764
- Testing
- Accurate prediction of fertilization disorders and clinical decision support systems assist doctors in decision-making, Clinicians follow a routine protocol
- Where
- China
- Volunteers
- 260 people
- Sponsor
- Peking University Third Hospital
Colorectal Polyp, Colorectal Cancer Recurrent
Development and Validation of Microbiota and Metabolite-based Prediction Model for Recurrence of High-risk Colorectal Polyps After Polypectomy
The characteristics of the intestinal microbiota in high-risk colorectal polyp recurrence and their relationship with disease pathogenesis have not yet been fully elucidated.
- Conditions
- Colorectal Polyp, Colorectal Cancer Recurrent, Colorectal Adenoma
- Trial name
- NCT06957626
- Where
- China
- Volunteers
- 150 people
- Sponsor
- Peking Union Medical College Hospital
Type2diabetes
Validation of Existing Diabetes Risk Models in a Swedish Population
The goal of this observational study is to validate existing non-invasive diabetes clinical prediction models in a Swedish population.
- Trial name
- NCT05609266
- Volunteers
- 115,642 people, healthy volunteers welcome
- Sponsor
- Umeå University
Real-world Study
AI-Assisted Medical Decision-Making
The study builds and applies an AI model to help doctors predict patient diagnoses and outcomes, such as survival or hospital stay.
- Trial name
- NCT06846229
- Testing
- AI-associated strategy
- Where
- 2 sites in China
- Volunteers
- 50,000,000 people, healthy volunteers welcome
- Sponsor
- The Eye Hospital of Wenzhou Medical University
Pancreatic Fistula, Pancreatectomy
Distal Pancreatectomy Pancreatic Fistula Risk Prediction Model Validation Study
Distal pancreas resection is a relatively rare procedure with a known risk of postoperative pancreatic fistula. Until quite recently, no valid risk prediction models for this have been available.
- Trial name
- DPFValid (NCT05737875)
- Where
- United Kingdom
- Volunteers
- 2,284 people
- Sponsor
- University of Edinburgh
Gastrointestinal Stromal Tumors, Gastric Subepithelial Tumors
Development of a Multimodal AI System for GIST Management
Background: Gastrointestinal Stromal Tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract. Accurate pre-operative diagnosis, risk stratification, and genotyping are critical for determining the…
- Conditions
- Gastrointestinal Stromal Tumors, Gastric Subepithelial Tumors, Gastric Leiomyoma, Artificial Intelligence (AI)
- Trial name
- NCT07454967
- Testing
- Multimodal AI Analysis System
- Where
- 9 sites in China
- Volunteers
- 300 people
- Sponsor
- Qun Zhao
Heart Failure, Pulmonary Arterial Hypertension
Non-invasive Pulmonary Artery Prediction (ADOPTS)
A proprietary machine-learning algorithm has been developed to model continuous pulmonary artery pressure (PAP), a physiologic marker of cardiopulmonary function.
- Trial name
- ADOPTS (NCT05641675)
- Testing
- right heart catheterization
- Where
- United States
- Volunteers
- 25 people
- Sponsor
- Silverleaf Medical Sciences INC
Attention Deficit Hyperactivity Disorder
Event Rate and Effects of Stimulants in ADHD
Stimulants alleviate information processing and task performance deficits in Attention Deficit/Hyperactivity Disorder (ADHD). Long acting formulations of amphetamines such as lisdexamphetamine dimesylate (LDX) are especially…
- Trial name
- ERESA (NCT01913912)
- Testing
- LDX., sugar pill, computer task (Go/No-Go task)
- Where
- 2 sites in Belgium
- Volunteers
- healthy volunteers welcome
- Sponsor
- University Ghent
Parkinson Disease, Impulse Control Disorder
Efficacy of a Prediction Model-based Algorithm to PREVENT Drug-induced Impulse Control Disorders in Parkinson's Disease
Impulse control disorders and related behaviors (ICDRBs) are characterized by pathological gambling, compulsive shopping or eating, and hypersexuality, but other related behaviors have been described, e.g. hobbyism, and punding.
- Trial name
- PREVENT-ICD (NCT07505394)
- Testing
- Algorithm-guided group, Standard of Care (SoC) group
- Where
- France
- Volunteers
- 528 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Frailty
Development of a Frailty Risk Prediction Model and Preliminary Evaluation of a Risk-stratified Social Robot-assisted Intervention in Middle-aged and Older Spousal Caregivers
Background With population ageing accelerating worldwide, long-term care needs are rising, and family caregivers have become an essential yet often under-recognised component of care systems.
- Trial name
- NCT07740031
- Testing
- Virtual social robot-assisted intervention, Wait-list control group
- Volunteers
- 60 people
- Sponsor
- The Hong Kong Polytechnic University
Radiation Pneumonitis
Study on the Biological Prediction Models of Radiation Pneumonitis
Radiation pneumonitis is the most common complication and the major dose-limiting toxicity associated with radiotherapy, which can cause poor quality of life or life-threatening symptoms and might hinder the tumor-controlling…
- Trial name
- NCT02490319
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Huazhong University of Science and Technology
Gastric Cancer
CT Imaging and Clinical Features to Predict Outcomes in Patients With Gastric Cancer
The goal of this prospective observational study is to evaluate how well a previously developed prediction model can estimate outcomes in adults with gastric cancer.
- Trial name
- NCT07776067
- Testing
- No intervention (observational study)
- Where
- China
- Volunteers
- 600 people
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Abdominal Aorta Aneurism, Peripheral Arterial Disease
Developing Trustworthy Artificial Intelligence (AI)-Driven Tools to Predict Vascular Disease Risk and Progression: the Prospective VASCUL-AID Study
Introduction: Peripheral arterial disease (PAD) and abdominal aortic aneurysm (AAA) are vascular conditions associated with significant morbidity and mortality, with 25% of AAA patients and 23% of PAD patients being at a high…
- Trial name
- VASCUL-AID-PRO (NCT07187700)
- Volunteers
- 1,100 people
- Sponsor
- Amsterdam UMC
Depression
The Quantitative Study of the Habenula Based on Multi-channel Cascaded Neural Network and the Establishment of the Prediction Model of the Curative Effect in Patients With Depression
Depression is the second leading cause of disease burden in our country. It has serious effects on the physical and mental health of human beings, and about 30% of patients with depression are unresponsive or respond poorly to…
- Trial name
- NCT05872607
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- The First Hospital of Jilin University
Hypotension
Early Prediction of ICU Hypotension Using Machine Learning
This prospective observational study aims to develop and internally validate a machine learning model for the early prediction of hypotension in adult intensive care unit patients.
- Trial name
- ICU-HypoAI (NCT07627607)
- Testing
- Routine ICU Data Collection
- Where
- Turkey (Türkiye)
- Volunteers
- 107 people
- Sponsor
- Kutahya Health Sciences University
Osteoporosis, Low-energy Trauma Fracture
3D Imaging of the Hip Using DXA
The study aims to determine the efficacy and best methods for predicting hip fractures and diagnosing post-menopausal osteoporosis using three dimensional structural engineering models (SEMs) of proximal femoral bone produced…
- Trial name
- 3DScans (NCT00666640)
- Testing
- DXA scan of hip, CT scan of hip
- Where
- United Kingdom
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Sheffield Teaching Hospitals NHS Foundation Trust
NAFLD, Cardiovascular Diseases
Nonalcoholic Fatty Liver Disease and Cardiovascular Disease: the Correlation Analysis and Risk Prediction Model Study
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease in the world. NAFLD is associated with a lot of comorbidity, such as diabetes, metabolic syndrome, coronary heart disease and chronic…
- Trial name
- NCT03534908
- Where
- China
- Volunteers
- 5,000,000 people, healthy volunteers welcome
- Sponsor
- Wuhan University
COVID-19, Coronavirus
Respiratory Decompensation and Model for the Triage of COVID-19 Patients
The purpose of this study is to prospectively evaluate a machine learning algorithm for the prediction of outcomes in COVID-19 patients.
- Conditions
- COVID-19, Coronavirus, Mortality, Mechanical Ventilation
- Trial name
- READY (NCT04390516)
- Testing
- COViage
- Where
- United States
- Volunteers
- 197 people
- Sponsor
- Dascena
Cardiac Surgery Associated - Acute Kidney Injury, CKD (Chronic Kidney Disease) Stage 5D
Incidence and Prognostic of Cardiac Surgery-Associated Acute Kidney Injury: A Spanish Multicenter Study (SCARS-AKI)
To predict the renal damage caused by cardiac surgery in patients to try to mitigate it as soon as possible
- Conditions
- Cardiac Surgery Associated - Acute Kidney Injury, CKD (Chronic Kidney Disease) Stage 5D, Acute Kidney Injury, Acute Kidney Disease
- Trial name
- SCARS-AKI (NCT07370831)
- Testing
- CARDIAC SURGERY
- Where
- Spain
- Volunteers
- 2,500 people, healthy volunteers welcome
- Sponsor
- Universidad de Oviedo