Clinical trials: Prediction Model, open to volunteers
Ischemic Cerebrovascular Disease, Artificial Intelligence
Research on Early Prediction Model of Ischemic Cerebrovascular Disease Based on Artificial Intelligence Technology.
Establish an artificial intelligence clinical decision support system for patients with carotid/vertebral artery cerebrovascular stenosis, early identification of patients who may have cerebral infarction.
- Conditions
- Ischemic Cerebrovascular Disease, Artificial Intelligence, Prediction Model
- Trial name
- NCT06978348
- Where
- China
- Volunteers
- 244,296 people
- Sponsor
- Shanghai Jiao Tong University School of Medicine
Lung Cancer (Diagnosis), COPD (Chronic Obstructive Pulmonary Disease)
Risk-Based Lung Cancer Detection in COPD Patients
The goal of the interventional study is to evaluate whether risk-based stratification using the PLCOm2012 model and a machine learning (ML) model can identify patients with chronic obstructive pulmonary disease (COPD) who are at…
- Trial name
- ELUCID (NCT07848815)
- Testing
- Risk-based prediction models
- Where
- Denmark
- Volunteers
- 1,000 people
- Sponsor
- Vejle Hospital
Breast Cancer Screening
Establishment and Clinical Application of Breast Cancer Risk Prediction Model Based on Traditional Chinese Medicine Four Diagnostic Instruments and Ultrasound
Construct a breast cancer risk prediction model based on traditional Chinese medicine four diagnostic instruments and B-ultrasound images.
- Trial name
- NCT06902935
- Testing
- Diagnosis of Breast Cancer by Traditional Chinese Medicine Four Examinations, Ultrasound diagnosis of breast cancer
- Where
- China
- Volunteers
- 1,500 people
- Sponsor
- Taizhou Hospital
Non-Small Cell Carcinoma of Lung, Immunotherapy
Characterization of Multi-Omics Landscapes and AI Pathological Prediction Model for Long-Term Survival in NSCLC Immunotherapy
This study is a retrospective, multicenter, observational cohort study in patients with advanced or locally advanced non-small cell lung cancer (NSCLC).
- Conditions
- Non-Small Cell Carcinoma of Lung, Immunotherapy, Advanced Non-Small Cell Lung Cancer
- Trial name
- NCT07668037
- Where
- China
- Volunteers
- 600 people
- Sponsor
- Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Pregnant With Complication, Preeclampsia
Developing & Evaluating Models for Early Predicting Obstetrical Diseases in Pregnant Women by Non-invasive Prenatal Test
This is Observational study, aiming to investigate the potentiality of cffDNA and cfRNA by a non-invasive test, in combination with clinical characteristics, to establish models for early screening and predicting high-risk…
- Conditions
- Pregnant With Complication, Preeclampsia, Preterm Birth, Gestational Diabetes
- Trial name
- NCT06385366
- Where
- Vietnam
- Volunteers
- 1,105 people
- Sponsor
- Gene Solutions
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
Breast, Breast Cancer
Clinical Translation Research on a Multi-omics Breast Cancer Distant Metastasis Prediction Model Empowered by Artificial Intelligence
Breast cancer is one of the most common malignancies in women worldwide, and distant metastasis is the main cause of poor prognosis and death.
- Conditions
- Breast, Breast Cancer, Pathology
- Trial name
- COMPASS-BC (NCT07252986)
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Difficult Airway
AI-based Prediction Model of Difficult Tracheal Intubation Using Medical Image Parameters
Difficult airway is a life-threatening event during anesthesia. Prediction model is helpful to detect high-risk patients and decrease the risk of un-anticipated difficult airway.
- Trial name
- NCT06982144
- Where
- China
- Volunteers
- 228 people
- Sponsor
- Mu Dong Liang
Schizophrenia
Transcranial Sonography and Machine Learning for Schizophrenia Identification
Schizophrenia is a serious mental illness. Doctors usually diagnose schizophrenia by talking with patients, reviewing symptoms, and using clinical assessment. In early or less typical cases, diagnosis may be difficult.
- Trial name
- TCS-ML-SZ (NCT07604129)
- Testing
- Transcranial Sonography
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Taizhou Second People's Hospital
Multiple Trauma, Polytrauma
Development and Internal Validation of a Multimodal Prediction Score for Early Hemodynamic Deterioration in Adult Polytrauma Patients
Severe traumatic injury involving multiple body regions (polytrauma) carries a high risk of rapid bleeding, tissue hypoperfusion, and circulatory collapse.
- Conditions
- Multiple Trauma, Polytrauma, Hemodynamic Instability, Traumatic Shock
- Trial name
- NCT07850427
- Volunteers
- 300 people
- Sponsor
- Assiut University
Bronchiectasis, Non-cystic Fibrosis Bronchiectasis
BASE: Bronchiectasis Severity and Exacerbation Risk Study
Non-cystic fibrosis bronchiectasis (NCFB) is a chronic airway disease characterized by permanent bronchial dilatation, impaired mucus clearance, recurrent infection, airway inflammation, and repeated exacerbations.
- Conditions
- Bronchiectasis, Non-cystic Fibrosis Bronchiectasis, Bronchiectasis With Acute Exacerbation
- Trial name
- BASE (NCT07599839)
- Where
- Egypt
- Volunteers
- 750 people
- Sponsor
- Assiut University
IVF Outcomes, Prediction Models
Machine-Learning Prediction of Pregnancy Outcomes After Assisted Reproductive Treatments
The goal of this observational study is to develop and validate a machine-learning model to predict pregnancy outcomes in women with a positive pregnancy test following assisted reproductive treatment (ART), with the primary…
- Conditions
- IVF Outcomes, Prediction Models, Infertility Assisted Reproductive Technology, Live Birth
- Trial name
- NCT07855783
- Testing
- Machine-Learning Model for Prediction of Pregnancy Outcomes
- Where
- 2 sites in Croatia
- Volunteers
- 2,200 people
- Sponsor
- BetaPlus Center for Reproductive Medicine
Sudden Cardiac Death
Skeletal Muscle Multi-omics Analysis and Risk Tailoring in Sudden Cardiac Death
This study is designed as a prospective, single-center, observational cohort study (the SMART-SCD Study, full name: Skeletal Muscle Multi-omics Analysis and Risk Tailoring in Sudden Cardiac Death), which enrolls high-risk…
- Trial name
- SMART-SCD (NCT07476456)
- Where
- China
- Volunteers
- 421 people
- Sponsor
- China National Center for Cardiovascular Diseases
The Focus is to Validate the Accuracy of a Non-invasive Artificial Intelligence Model for the Prediction of the Human Blastocyst Ploidy, Preimplantation Genetic Testing (PGT)
Evaluation of an Artificial Intelligence Model for the Prediction of Human Blastocyst Ploidy Without Invasive Procedures
The goal of this clinical trial is to evaluate an artificial intelligence model for the prediction of human blastocyst ploidy without invasive procedures in couples that receive preimplantation genetic testing.
- Trial name
- NCT06762704
- Testing
- Video recording
- Where
- 5 sites in China
- Volunteers
- 1,408 people
- Sponsor
- The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Sepsis, Burn Injury
TDAP in Burn Patients (Group 2)
This study is following adult patients with serious burn injuries to better understand how their bodies respond to treatment and recovery.
- Conditions
- Sepsis, Burn Injury, Wound Healing, Critical Illness
- Trial name
- NCT07223684
- Testing
- Observational Cohort (No Intervention)
- Where
- 3 sites in United States
- Volunteers
- 80 people
- Sponsor
- Henry M. Jackson Foundation for the Advancement of Military Medicine
Hypertrophic Cardiomyopathy, Hypertrophic Obstructive Cardiomyopathy
Hypertrophic Cardiomyopathy Registry, Biobank and Imaging Data Repository
The Hearts in Rhythm Organization (HiRO) is a national network of Canadian researchers/clinicians, working towards a better understanding of the rare genetic causes of sudden cardiac death (SCD).
- Conditions
- Hypertrophic Cardiomyopathy, Hypertrophic Obstructive Cardiomyopathy, Familial Hypertrophic Cardiomyopathy, Cardiomyopathies
- Trial name
- HiRO-HCM (NCT05100420)
- Where
- 17 sites in Canada
- Volunteers
- 2,000 people
- Sponsor
- Montreal Heart Institute