Clinical trials: Prediction Models
Mental Health Care, Mental Disorders
Using Responsible Artificial Intelligence (AI) to Predict Online Therapy Outcome and Engagement
This study is to develop AI-based models for the personalised prediction of treatment engagement and treatment outcomes in patients engaging in digital psychotherapy.
- Trial name
- NCT05758285
- Testing
- AI-Based Prediction of Treatment Engagement and Outcomes
- Where
- Switzerland
- Volunteers
- 6,671 people, healthy volunteers welcome
- Sponsor
- University Hospital, Basel, Switzerland
Anesthesiology, Anesthesiology Management
Machine Learning-Based Model for Individualized Drug Dose Prediction for Propofol
The goal of this observational study is to develop an individualized prediction model for drug dosage during propofol-induced loss of consciousness in anticipation of advances in research in this area.
- Trial name
- NCT06703879
- Testing
- Anesthesia induction with propofol
- Where
- China
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- General Hospital of Ningxia Medical University
Oral Cancer, Psychological Distress
Develop and Evaluate An Artificial Intelligence Assisted Prehabilitation Program for Returning to Work and Cost-effectiveness Analysis in Patients With Oral Cancer
The goal of this clinical trial is to develop and evaluate an Artificial Intelligence Assisted Prehabilitation Program (AI APP) for returning to work and cost-effectiveness analysis in patients with oral cancer (OC).
- Conditions
- Oral Cancer, Psychological Distress, Communication Aids for Disabled, Physiotherapy
- Trial name
- NCT07562100
- Testing
- Prehabilitation application, Conventional physiotherapy, Scar management
- Where
- 5 sites in Taiwan
- Volunteers
- 650 people, healthy volunteers welcome
- Sponsor
- Taipei Veterans General Hospital, Taiwan
Atherosclerosis, Prediction Model
Metabolomics Characterization of Biomarkers of ASCVD and Prediction Model
1. Describe the risk factors and metabonomics characteristics of atherosclerotic cardiovascular disease in Chinese patients. 2. Establish accurate prediction model of atherosclerotic heart disease.
- Trial name
- MEAL (NCT05148182)
- Where
- 2 sites in China
- Volunteers
- 1,869 people, healthy volunteers welcome
- Sponsor
- Shanghai 10th People's Hospital
Cognitive Impairment, Predictive Model
Risk Prediction and Its Intelligent Assessment for Cognitive Impairment Among Community-dwelling Older Adults
Cognitive impairment is one of the core early signs of dementia, and it is also a key stage for community-based dementia prevention.
- Conditions
- Cognitive Impairment, Predictive Model, Aging, Cohort
- Trial name
- NCT05385874
- Where
- China
- Volunteers
- 13,228 people, healthy volunteers welcome
- Sponsor
- Peking University Sixth Hospital
Perimenopause, Menopause
CARAMEL Observational Study
CARAMEL is a project funded by the European Commission under the Horizon Europe programme. Its aim is to develop a personalized prevention approach based on state-of-the-art artificial intelligence models for cardiovascular risk…
- Conditions
- Perimenopause, Menopause, Cardiovascular (CV) Risk, Women (Between 30 to 60 Years Old)
- Trial name
- CARAMEL-OS (NCT07695376)
- Where
- 6 sites in Colombia, Croatia and 3 more
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Biogipuzkoa Health Research Institute
Placenta Praevia, Vaginismus
Transperineal Ultrasound to Assess the Progress of Labour
This is a prospective observational study of transperineal ultrasound between 24-42 weeks gestation and a prospective longitudinal observational study in all term (37-42 weeks) labouring women.
- Trial name
- NCT02430038
- Where
- United Kingdom
- Volunteers
- 584 people, healthy volunteers welcome
- Sponsor
- Imperial College London
Sudden Cardiac Death
A Prospective,Multiple Center,Cohort Study of Prediction Model on Sudden Cardiac Death and Devices Development by Automatic Analysis From 24h Electrocardiogram in China
This study is a prospective, multicenter, cohort study. The study will be completed in three phases. The first phase aims to establish SCD PW marker and PW score scoring system 1.
- Trial name
- PM-SCD CHINA (NCT03485079)
- Where
- China
- Volunteers
- 2,200 people, healthy volunteers welcome
- Sponsor
- Jingfeng Wang
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
Adverse Drug Events
Eliminating Risk of Preventable Adverse Drug Events at the Hospital-community Interface of Care
This initiative aims to decrease the risk of medication errors at the hospital-community interface as well as health system utilization following hospital discharge by implementing a pharmacist-led medication reconciliation in…
- Trial name
- CMR (NCT01164137)
- Testing
- Medication Reconciliation
- Where
- Canada
- Volunteers
- 156 people, healthy volunteers welcome
- Sponsor
- Westview Physician Collaborative
Osteoporosis
AI Model for Bone Mineral Density Prediction From X-Ray Images
Osteoporosis, a pervasive skeletal disorder characterized by diminished bone strength predisposing individuals to an increased risk of fractures, presents a substantial public health challenge globally.
- Trial name
- NCT06652061
- Testing
- Dual Energy X-Ray Absorptiometry Scan (DEXA Scan), X-Ray (Hip and Spine)
- Where
- Bangladesh
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Bangladesh University of Engineering and Technology
Occupational Disidentification
Undergraduate Nursing Intern Cohort Study
This prospective observational cohort study aims to examine changes in occupational disidentification among undergraduate nursing interns during clinical internship and to identify factors associated with high-risk trajectories.
- Trial name
- NCT07682493
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Nanjing Medical University
Metachronous Colorectal Adenoma
Construction of a Prediction Model for Metachronous Colorectal Adenoma
The study aimed to explore the independent risk factors for the metachronous colorectal adenoma after endoscopic resection, and construct the prediction model of metachronous colorectal adenoma, in order to provide theoretical…
- Trial name
- NCT05183438
- Where
- China
- Volunteers
- 30,000 people, healthy volunteers welcome
- Sponsor
- The First Affiliated Hospital with Nanjing Medical University
AKI - Acute Kidney Injury
Risk Factors and Deep Learning Model for CI-AKI
Contrast-associated acute kidney injury (CI-AKI) is a sudden and significant decline in renal function resulting from the use of a contrast agent.
- Trial name
- NCT06596785
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Xiao Li，MD
Labor, Induced, Labor, Obstetric
Prediction of Spontaneous Onset of Labor at Term
The study intends to develop a predictive model of spontaneous onset of labor between 39 and 41 weeks of pregnancy in women carrying singletons and without indication of delivery before this date.
- Conditions
- Labor, Induced, Labor, Obstetric, Labor Onset, Predictive Model
- Trial name
- PREDICT (NCT05109247)
- Where
- 3 sites in Switzerland
- Volunteers
- 429 people, healthy volunteers welcome
- Sponsor
- University Hospital, Geneva
Gastric Cancer, Gastritis, Atrophic
Gastric Cancer Screening Quality Improvement System Establishment
Experienced endoscopists will perform endoscopy during the study period and the detection rate of gastric premalignant lesion, correlation between endoscopic and serologic diagnosis of premalignant lesions and inter-observer…
- Conditions
- Gastric Cancer, Gastritis, Atrophic, Intestinal Metaplasia
- Trial name
- NCT02457624
- Testing
- Education and feedback
- Where
- South Korea
- Volunteers
- 17 people, healthy volunteers welcome
- Sponsor
- Seoul National University Hospital
Chronic Disease, Risk Assessment
Adult Disease Risk Prediction Using Wearables, Hearing, and Health Data
This prospective cohort study aims to develop and validate a personalized disease risk prediction model for adults by integrating multiple sources of health data.
- Trial name
- NCT07541547
- Where
- Taiwan
- Volunteers
- 1,500 people, healthy volunteers welcome
- Sponsor
- National Health Research Institutes, Taiwan
Multiple Sclerosis, Multiple Sclerosis Lesion
Artificial Intelligence in Predicting Progression in Multiple Sclerosis Study
The study proposal focuses on multiple sclerosis (MS), a chronic incurable disease of the central nervous system (CNS). The MS disease is characterised by recurrent transient disability progression, quantified by increase in the…
- Conditions
- Multiple Sclerosis, Multiple Sclerosis Lesion, Multiple Sclerosis Brain Lesion
- Trial name
- AI ProMiS (NCT05426980)
- Where
- 4 sites in Slovenia
- Volunteers
- 654 people, healthy volunteers welcome
- Sponsor
- University of Ljubljana
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
Placenta Accreta Spectrum
Risk Factors, Prognosis and Prediction Models for Placenta Accreta Without Prior Cesarean Section
1. Identify the risk factors for Placenta accreta spectrum (PAS) disorders in women without prior caesarean section (CS). 2. Clarify the prognostic factors of the disease and explore individualized treatment options to improve…
- Trial name
- NCT06383923
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Peking University Third Hospital