Clinical trials: Machine Learning
Fetal Weight, Pregnancy
Prospective Evaluation of an AI Diagnostic Ultrasound Tool for Fetal Weight Estimation
Purpose: The primary objective of this study is to assess the diagnostic accuracy of an AI-enabled ultrasound tool for estimating fetal weight Participants: 1,000 pregnant individuals Procedures (methods): This prospective…
- Conditions
- Fetal Weight, Pregnancy, Machine Learning, Pregnancy - Prenatal Testing
- Trial name
- krittenhouse (NCT07661433)
- Testing
- AI ultrasound diagnostic tool for fetal weight estimation
- Where
- 6 sites in United States, Canada and 2 more
- Volunteers
- 1,000 people
- Sponsor
- University of North Carolina, Chapel Hill
Cardiotoxicity, DPP3
Cardiovascular Complications in Patients Undergoing Allogeneic Hematopoietic Stem Cell Transplantation.
Allogeneic hematopoietic stem cell transplantation (HSCT) represents a major therapeutic strategy for malignant hematologic diseases, with the number of procedures steadily increasing in France each year.
- Conditions
- Cardiotoxicity, DPP3, HSCT, Allogeneic Hematopoietic Stem Cell Transplantation
- Trial name
- ALLOCARDIOTOX (NCT07157670)
- Where
- France
- Volunteers
- 400 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Machine Learning, Cardiovascular Outcome
PACT Involvement in Cardiology Patients
The goal of this trial is to determine the effectiveness of a machine-learning (ML) model predicting a serious cardiac event within the next three months, when compared pre- versus post-deployment, in pediatric cardiac…
- Conditions
- Machine Learning, Cardiovascular Outcome, Pediatric Palliative Care, Pediatric Cardiology
- Trial name
- NCT06886529
- Testing
- ML-based intervention
- Where
- Canada
- Volunteers
- 1,000 people
- Sponsor
- The Hospital for Sick Children
Machine Learning, Prediction Models
Timely Ordering of Pharmacogenetic Testing
The goal of this trial is to learn if a machine learning (ML) model can help optimize drug therapy in the pediatric population. The main question[s] it aims to answer are whether a machine learning model predicting receipt of a…
- Conditions
- Machine Learning, Prediction Models, Pediatrics, Precision Medicine
- Trial name
- NCT06902688
- Testing
- ML-based intervention
- Where
- Canada
- Volunteers
- 275 people
- Sponsor
- The Hospital for Sick Children
Ventricular Dysfunction, Left, Ventricular Function, Left
Federated Learning for Point-of-Care Cardiac Ultrasound
This prospective, multicenter study will evaluate a federated machine-learning system designed to analyze focused cardiac point-of-care ultrasound examinations.
- Conditions
- Ventricular Dysfunction, Left, Ventricular Function, Left, Echocardiography, Ultrasonography
- Trial name
- FL-POCUS (NCT07800962)
- Testing
- Focused Cardiac Point-of-Care Ultrasonography, FL-POCUS Federated Machine-Learning Analysis System
- Where
- United States
- Volunteers
- 3,000 people
- Sponsor
- Truway Health, Inc.
Parkinsonian Disorders, Machine Learning
Machine Vision Based MDS-UPDRS III Machine Rating
The Movement Disorders Society (MDS) Unified Parkinson's Disease Rating Scale (UPDRS) Part III (MDS-UPDRS III) is the primary assessment method for motor symptoms in Parkinson's disease patients.
- Trial name
- NCT05906719
- Testing
- video recording
- Where
- 8 sites in China
- Volunteers
- 1,679 people
- Sponsor
- Ruijin Hospital
Acute Respiratory Distress Syndrome (ARDS), Prone Position Ventilation
Machine Learning Prediction of Mortality After Prone Positioning in ARDS
Acute respiratory distress syndrome (ARDS) is a life-threatening condition with high mortality. Prone position ventilation (PPV) is an evidence-based therapy that improves oxygenation and survival in patients with moderate to…
- Conditions
- Acute Respiratory Distress Syndrome (ARDS), Prone Position Ventilation, Machine Learning, ICU
- Trial name
- NCT07445061
- Testing
- Prone Position Ventilation
- Where
- China
- Volunteers
- 358 people
- Sponsor
- Shanghai Zhongshan Hospital
Spinal Anesthesia, Machine Learning
Machine Learning for Predicting Spinal Anesthesia Duration
Spinal anesthesia provides significant advantages over general anesthesia in knee arthroplasty, including reduced blood loss, faster recovery, and fewer complications.
- Conditions
- Spinal Anesthesia, Machine Learning, Knee Arthroplasty, Total, Spinal Anesthesia Duration
- Trial name
- NCT07256548
- Testing
- Spinal Anesthesia (bupivacaine)
- Where
- Turkey (Türkiye)
- Volunteers
- 145 people
- Sponsor
- Kocaeli City Hospital
Sepsis, News-2
Comparison of NEWS2 and Machine Learning for Early Sepsis Warning
This prospective observational study aims to objectively measure the lead-time (the time from the first KDS alert to sepsis diagnosis) of the NEWS2-based clinical decision support system (KDS) and compare its early warning…
- Conditions
- Sepsis, News-2, Machine Learning
- Trial name
- SEW-ML (NCT07734480)
- Testing
- Observational Study - No Intervention
- Where
- Turkey (Türkiye)
- Volunteers
- 100 people
- Sponsor
- Kocaeli Derince Education and Research Hospital
ABPA, Allergic Bronchopulmonary Aspergillosis
ML-Based ABPA Recurrence Prediction and Clinical Utility
This multicenter bidirectional cohort study aims to develop and externally validate a machine learning model for predicting the risk of acute exacerbation within 1 year in patients with allergic bronchopulmonary aspergillosis…
- Conditions
- ABPA, Allergic Bronchopulmonary Aspergillosis, Allergic Bronchopulmonary Aspergillosis (ABPA), Acute Exacerbation
- Trial name
- ABPA-ML (NCT07714863)
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Qianfoshan Hospital
Vaccine Refusal, Vaccine Hesitancy
Predicting Vaccine Hesitancy Using Machine Learning
In recent years, emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Virtual Reality (VR) have rapidly become integrated into daily life.
- Conditions
- Vaccine Refusal, Vaccine Hesitancy, Machine Learning, Children
- Trial name
- NCT06988969
- Where
- Turkey (Türkiye)
- Volunteers
- 461 people, healthy volunteers welcome
- Sponsor
- University of Yalova
Hepatocellular Carcinoma (HCC), Transarterial Chemoembolization
Estimation and Prediction of Individual Benefit From Postoperative Adjuvant Transcatheter Arterial Chemoembolization For Patients With Hepatocellular Carcinoma
Adjuvant transarterial chemoembolization (TACE) is widely adopted in China for resectable hepatocellular carcinoma (HCC), yet its efficacy remains inconsistent.
- Conditions
- Hepatocellular Carcinoma (HCC), Transarterial Chemoembolization, Adjuvant Therapy, Machine Learning
- Trial name
- HCC (NCT07562763)
- Where
- China
- Volunteers
- 1,005 people
- Sponsor
- Anhui Provincial Hospital
Transcranial Direct Current Stimulation, Autistic Disorders Spectrum
A Machine Learning Approach for Predicting tDCS Treatment Outcomes of Adolescents With Autism Spectrum Disorders
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by disturbances in communication, poor social skills, and aberrant behaviors.
- Conditions
- Transcranial Direct Current Stimulation, Autistic Disorders Spectrum, Electroencephalography, Machine Learning
- Trial name
- NCT05035511
- Testing
- tDCS
- Where
- Hong Kong
- Volunteers
- 90 people
- Sponsor
- The Hong Kong Polytechnic University
Osteogenesis Imperfecta, Rare Bone Disorders
Morphology in Oral Rare Syndromes & Artificial Intelligence for Clinical Diagnosis
MOSAIC aims to determine whether oro-dental morphological anomalies, particularly palatal morphology, associated with rare bone and cartilage diseases can be precisely characterized using 3D digital models analysed through…
- Conditions
- Osteogenesis Imperfecta, Rare Bone Disorders, Hypophosphatemia, X-Linked
- Trial name
- MOSAIC (NCT07666269)
- Testing
- intra-oral 3D optical impression
- Where
- France
- Volunteers
- 240 people, healthy volunteers welcome
- Sponsor
- University Hospital, Bordeaux
HCC - Hepatocellular Carcinoma, Machine Learning
Prospective Evaluation of a Locked Risk-Stratified Surveillance Strategy for Extrahepatic Metastasis in Hepatocellular Carcinoma
This is a multicenter prospective observational cohort study in adults with hepatocellular carcinoma (HCC) without baseline extrahepatic metastasis who are receiving routine clinical management and follow-up at participating…
- Conditions
- HCC - Hepatocellular Carcinoma, Machine Learning, Evaluation
- Trial name
- NCT07444905
- Testing
- Machine Learning-Based Risk Assessment
- Where
- China
- Volunteers
- 1,523 people
- Sponsor
- Tongji Hospital
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
Allergic Bronchopulmonary Aspergillosis (ABPA), Machine Learning
Multi-Omics Inflammatory Phenotype for ABPA Recurrence Risk Prediction
To develop and externally validate a machine learning model for predicting the 1-year risk of relapse in patients with stable ABPA, and to further evaluate its value in risk stratification and clinical decision-making.
- Conditions
- Allergic Bronchopulmonary Aspergillosis (ABPA), Machine Learning, Multi-omics, Multicenter Study
- Trial name
- NCT07611838
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Qianfoshan Hospital
Cardiac Disease, Auscultation of Heart
Digital diagnoSis of Cardiac sOUNd in peDiatric Patients [DI-SOUND Study]
Neonatal screening procedures for potentially life-threatening congenital cardiovascular diseases (i.e., duct-dependent systemic or pulmonary circulation), currently implemented at the national level, rely primarily on…
- Conditions
- Cardiac Disease, Auscultation of Heart, Machine Learning
- Trial name
- DI-SOUND (NCT07542509)
- Where
- 5 sites in Italy
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- IRCCS Azienda Ospedaliero-Universitaria di Bologna
BIS, BIS-EEG
Deep Learning Framework for Continuous Depth of Anesthesia Forecasting
The integration of Artificial Intelligence (AI) in anesthesiology offers the potential to shift patient monitoring from reactive to predictive.
- Conditions
- BIS, BIS-EEG, Artifical Intelligence, Intraoperative
- Trial name
- NCT07536230
- Where
- Belgium
- Volunteers
- 115 people, healthy volunteers welcome
- Sponsor
- Universitair Ziekenhuis Brussel
Dermatomyositis (DM), ILD
Construction of a Clinico-Imaging Collaborative Diagnostic Model for Dermatomyositis Combined With Interstitial Lung Disease Based on PET/CT Imaging Features and Clinical Parameters
The investigators investigated the associations between the imaging parameters of ⁶⁸Ga-FAPI and ¹⁸F-FDG dual-tracer PET/CT and concomitant interstitial lung disease (ILD) in patients with dermatomyositis (DM), developed a novel…
- Conditions
- Dermatomyositis (DM), ILD, Machine Learning, Radiomics
- Trial name
- NCT07531446
- Testing
- Observe the medical images, Extracting image feature
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Ruijin Hospital