Clinical trials: Machine Learning, open to volunteers
Stroke, Fall
Predicting Fall Risk in Stroke Patients Using a Machine Learning Model and Multi-Sensor Data
The study assesses a machine learning model developed to predict fall risk among stroke patients using multi-sensor signals. This prospective, multicenter, open-label, sponsor-initiated confirmatory trial aims to validate the…
- Trial name
- NCT06380049
- Testing
- EMG Analysis Software
- Where
- South Korea
- Volunteers
- 90 people, healthy volunteers welcome
- Sponsor
- Seoul National University Hospital
Intrapartum Fever
Machine Learning to Predict Fever After Labor Analgesia
Post-labor analgesia intrapartum fever (PAIF) is a serious complication that increases the risk of cesarean delivery, postpartum bleeding, and health problems for newborns.
- Trial name
- NCT07880665
- Testing
- Labor analgesia
- Volunteers
- 6,144 people
- Sponsor
- Chengdu Jinjiang Maternity and Child Health Hospital
Autism Spectrum Disorder, Depression - Major Depressive Disorder
Mental Health, Intellectual and Neurodevelopmental Disorder Detection With Artificial Intelligence Models
This study investigates whether AI-driven analysis of speech can accurately predict clinical diagnoses and assess risk for various mental or behavioral health conditions, including attention-deficit/hyperactivity disorder (ADHD)…
- Conditions
- Autism Spectrum Disorder, Depression - Major Depressive Disorder, Anxiety, Generalized, Bipolar Disorder (BD)
- Trial name
- MINDAIM (NCT06792175)
- Testing
- Solicue Machine Learning Models, Mercuria Machine Learning Models
- Where
- 2 sites in United States
- Volunteers
- 500 people
- Sponsor
- Psyrin Inc.
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
Apnea, Sleep Disorders
A Study to Learn About the Monthly Dosing Study Medicine Called Berobenatide in Adults With Breathing Problems During Sleep and Overweight or Obesity Who Use a Breathing Machine (PAP) (VESPER-OSA 1)
This study is being done to learn about the safety and effects of a study medicine called berobenatide (bear-oh-BEN-uh-tide). The study will see if berobenatide can help adults with breathing problems during sleep (obstructive…
- Conditions
- Apnea, Sleep Disorders, Overweight and/or Obesity
- Trial name
- NCT07823608
- Testing
- Berobenatide
- Where
- 8 sites in United States
- Volunteers
- 258 people
- Sponsor
- Pfizer
Duchenne Muscular Dystrophy (DMD), Cardiomyopathy
Modeling Mortality in Duchenne Muscular Dystrophy Cardiomyopathy: Identification of Surrogate Outcome Measures for DMD Drug Trials
Dystrophin associated heart dysfunction is a leading cause of death in patients with Duchenne and Becker Muscular dystrophy (DMD/BMD) and Duchenne and Becker muscular dystrophy carriers (MDC); however, the evolution of heart…
- Conditions
- Duchenne Muscular Dystrophy (DMD), Cardiomyopathy, Becker Muscular Dystrophy, Carrier of Duchenne Muscular Dystrophy
- Trial name
- NCT07674758
- Where
- 9 sites in United States
- Volunteers
- 1,000 people
- Sponsor
- Vanderbilt University Medical Center
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
Cardiovascular Diseases, Coronary Artery Disease
Depressive Symptoms After Cardiac Surgery
The primary goal of this project is to develop a predictive model for clinically significant depressive symptoms (CSDS) in patients undergoing coronary artery bypass graft (CABG) surgery, using pre- and perioperative data.
- Conditions
- Cardiovascular Diseases, Coronary Artery Disease, Heart Diseases, Depression
- Trial name
- PCD (NCT06706323)
- Where
- 2 sites in Switzerland
- Volunteers
- 300 people
- Sponsor
- Roland von Känel
Thrombosis, Bleeding
Multi-Omics-Based Novel Thrombosis and Bleeding Markers and Risk Model for CHD
Patients with coronary heart disease who take dual antiplatelet therapy face two serious risks: thrombosis and major bleeding. This study aims to develop better ways to predict these risks and guide personalized treatment.
- Conditions
- Thrombosis, Bleeding, Coronary Artery Disease (CAD)
- Trial name
- NCT07523880
- Where
- 3 sites in China
- Volunteers
- 12,154 people
- Sponsor
- Xueyan Zhao
Central Line Associated Blood Stream Infections (CLABSI)
Machine Learning Prediction of Possible Central Line Associated Blood Stream Infections and Rate of Reduction
Prospective, multi-center, cluster-randomized trial of a hospital Infection Preventionist (IP)-led quality improvement study to provide clinical teams with just-in-time clinical education and reinforcement of existing best…
- Trial name
- CLABSI AI (NCT07108660)
- Testing
- Infection Preventionist Led Best Practices Reminders
- Where
- 19 sites in United States
- Volunteers
- 17,800 people
- Sponsor
- Swedish Medical Center
Psychotic Disorders, Psychosis
Semantic and Syntactic Computerized Analysis of Free Speech
Subtle speech disorganization could be predictive of a transition to schizophrenia of ultra-high-risk patients. The aim of our longitudinal multicenter cohort study is to identify specific linguistic markers of the psychotic…
- Conditions
- Psychotic Disorders, Psychosis, Schizophrenia and Related Disorders, Schizophrenia Prodromal
- Trial name
- ASESID (NCT03525054)
- Where
- 3 sites in France
- Volunteers
- 215 people
- Sponsor
- University Hospital, Brest
Delirium in the Intensive Care Unit, Sleep Quality
Precision ICU Care: Evaluating an AI-Driven Nursing Decision Support System for Delirium Prevention
Delirium affects up to 83% of mechanically ventilated patients in the Intensive Care Unit (ICU), often leading to longer hospital stays and long-term memory or cognitive problems.
- Trial name
- NCT07631494
- Testing
- MLP-based Clinical Decision Support System (MLP-CDSS), VR-based Cognitive Intervention, VR-assisted Early Mobility Exercise
- Where
- Taiwan
- Volunteers
- 188 people, healthy volunteers welcome
- Sponsor
- Taipei Medical University
Asthma (Diagnosis), COPD (Chronic Obstructive Pulmonary Disease)
A Study to Understand the Accuracy of a New Breathing Device Compared to Standard Testing for Asthma and COPD
The diagnosis of either asthma or chronic obstructive pulmonary disease (COPD) is currently based on a combination of symptoms, different lung tests and sometimes a 'trial by treatment'.
- Trial name
- STARDUST (NCT07253883)
- Testing
- Partial pressure of CO2 during tidal breathing, FENO, Spirometry
- Where
- United Kingdom
- Volunteers
- 1,200 people
- Sponsor
- Liverpool Heart and Chest Hospital NHS Foundation Trust
Pulmonary Fibrosis
Single Time Point Prediction as Earlier Diagnosis of Progressive Pulmonary Fibrosis
This study is a prospective observational study for subjects with idiopathic pulmonary fibrosis (IPF) or non-IPF interstitial lung diseases (ILD).
- Trial name
- IS-PPF (NCT06162884)
- Where
- United States
- Volunteers
- 200 people
- Sponsor
- University of California, Los Angeles
Cognitive Ability General, Functional Abilities
Automated IADL Sensing to Refine Measurement of Older Adult Daily Activity
The instrumental activities of daily living (IADL) refer to complex daily activities required for adult independence, such as preparing a meal or taking medications.
- Trial name
- NCT07585864
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- University of Pittsburgh
Healthy, Foot
Implementation of Machine Learning Into Optical Pedography
This study aims to evaluate the validity and reliability of a proposed plantar pressure assessment intrument based on an implementation of machine learning into optical pedography.
- Conditions
- Healthy, Foot, Pressure Area, Pressure Distribution
- Trial name
- NCT07451509
- Testing
- Optical pedography
- Where
- Czechia
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- Palacky University
Neonatal Encephalopathy, Hypoxic-Ischemic Encephalopathy
Neonatal Neurological Observation With Video AI
NeoNOVA is a multi-site, prospective, single-arm, silent observational study to determine: among (Population) infants admitted to newborn services during their inpatient hospital stay, whether (Intervention) continuous bedside…
- Conditions
- Neonatal Encephalopathy, Hypoxic-Ischemic Encephalopathy, Sedation, Sleep
- Trial name
- NeoNOVA (NCT07628829)
- Testing
- Continuous bedside video monitoring with AI anatomic landmark tracking for neurologic monitoring
- Where
- 2 sites in United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Artemis AI Labs
Lung Neoplasm, Pulmonary Metastasis
HSI for Intersegmental Plane Identification During Sublobar Pulmonary Resections
The purpose of this study is the identification of the intersegmental plane and navigation during sublobar pulmonary resections in lung cancer using Hyperspectral Imaging, the comparison with ICG fluorescence intersegmental plane…
- Trial name
- HYPER-Seg (NCT05676788)
- Testing
- Hyperspectral Imaging
- Where
- Germany
- Volunteers
- 50 people
- Sponsor
- LungenClinic Grosshansdorf