Clinical trials: Machine Learning, open to volunteers
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
Gross Motor Development Delay
Video-based Assessment of Preschool Children's Gross Motor Development
Artificial intelligence (AI) is currently one of the global focal points for industrial development, with its applications in healthcare steadily increasing, such as in disease prediction, image diagnosis, and drug development.
- Trial name
- NCT07054437
- Testing
- Gross Motor Development Screening Tool
- Where
- Taiwan
- Volunteers
- 250 people
- Sponsor
- Chang Gung Memorial Hospital
Machine Learning
MUSCLE-ML: Multimodal Integration of Muscle Strength, Structure by Machine Learning for Precision Rehabilitation After ACL Injury
The goal of this clinical trial is to use machine learning (ML) to predict functional recovery by integrating muscle-related factors and other relevant parameters for identification of non-responders to conventional…
- Trial name
- NCT07284771
- Testing
- No Intervention: Observational Cohort
- Volunteers
- 182 people, healthy volunteers welcome
- Sponsor
- Chinese University of Hong Kong
Adolescent Idiopathic Scoliosis (AIS)
Detection of Scoliosis
This study aims to evaluate whether plantar pressure data collected during standing and walking can be used with machine learning to support early detection of scoliosis in young people.
- Trial name
- NCT07581015
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- University College, London
Kidney Cancer
Renal Cancer Detection Using Convolutional Neural Networks
We aim to experiment and implement various deep learning architectures in order to achieve human-level accuracy in Computer-aided diagnosis (CAD) systems.
- Trial name
- RCCCNN (NCT03857373)
- Where
- Denmark
- Volunteers
- 5,000 people
- Sponsor
- Nessn Azawi
Basal Cell Carcinoma of Skin, Squamous Cell Carcinoma (Skin)
Machine Learning Analysis of Two-photon Fluorescence Microscopy of Dermatologic Biopsies
The goal of this study is to investigate the ability of a machine learning model to evaluate two-photon fluorescence microscopy images of dermatologic biopsies at point of care.
- Trial name
- NCT07682831
- Testing
- Two photon microscopy imaging
- Where
- United States
- Volunteers
- 92 people
- Sponsor
- University of Rochester
Weaning From Mechanical Ventilation in Care Unit
Prediction of the Spontaneous Breathing Test Success Using Biosignal and Biomarker in Critical Care Unit by a Machine Learning Approach
Context: Several authors have been interested in applying Artificial Intelligence (AI) to medicine, using various Machine Learning (ML) techniques: managing septic shock, predicting renal failure...
- Trial name
- NCT05886803
- Testing
- Spontaneous ventilation test
- Where
- France
- Volunteers
- 500 people
- Sponsor
- Centre Hospitalier Universitaire de Nice
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
Pediatric ALL, Sepsis
Evaluation of Pediatric eCART Implementation
This is a study comparing 3 years of retrospective data (pre-implementation) to 2 years of prospective data after the implementation of a pediatric version of Electronic Cardiac Arrest Risk Triage (pediatric eCART), a clinical…
- Trial name
- NCT06771830
- Testing
- Pediatric eCART
- Where
- United States
- Volunteers
- 30,000 people
- Sponsor
- University of Wisconsin, Madison
Sexually Transmitted Infections (STIs), HIV
Development of a Predictive Model for Sexually Transmitted Infections in Individuals Using Pre-Exposure Prophylaxis for HIV in Spain
Objective: To develop and validate a predictive model for acquiring sexually transmitted infections (STIs) in individuals using HIV pre-exposure prophylaxis (PrEP) within the national program providing this strategy.
- Conditions
- Sexually Transmitted Infections (STIs), HIV, PrEP
- Trial name
- STI_PrEPare (NCT06860945)
- Testing
- No Intervention: Observational Cohort
- Where
- 26 sites in Spain
- Volunteers
- 9,000 people, healthy volunteers welcome
- Sponsor
- Hospital Universitario de Valme
Hypothermia, Accidental, Hypothermia; Anesthesia
Constructing a Risk Prediction Model for Intraoperative Hypothermia in Children Under General Anesthesia
Intraoperative hypothermia refers to a core body temperature below 36.0°C during surgery, which is common in surgical patients. Due to the fact that children's body temperature regulation function is not yet fully developed, they…
- Trial name
- NCT06892795
- Where
- China
- Volunteers
- 562 people
- Sponsor
- Harbin Medical University
Surgical Site Infection (SSI), Central Nervous System Tumor
A Clinical Prediction Model for Surgical Site Infection After Central Nervous System Tumor Surgery
1. Study Background For patients undergoing brain or spinal tumor surgery, postoperative surgical wound infection (known as "surgical site infection," SSI) is a recognized risk.
- Trial name
- NCT07378683
- Testing
- ML-Based Enhanced Intervention Package for SSI Prevention, Standard Postoperative Care
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Ming Yang
Adolescence Idiopathic Scoliosis
Machine Learning Prediction of Disease Progression in Adolescent Idiopathic Scoliosis
Background and Problem Overview Adolescent Idiopathic Scoliosis (AIS) is a progressive musculoskeletal disorder characterized by a three-dimensional deformation of the spine occurring during adolescence.
- Trial name
- NCT07556042
- Testing
- Core Stabilization Exercise
- Where
- Turkey (Türkiye)
- Volunteers
- 30 people
- Sponsor
- Istanbul University
Epilepsy
Acute Stimulation and Modulation of Stereotyped High-Frequency Oscillations
Overall, this study will investigate the functional utility of stereotyped HFOs by capturing them with a new implantable system (Brain Interchange - BIC of CorTec), which can sample neural data at higher rates >=1kHz and deliver…
- Trial name
- NCT06898138
- Testing
- Brain Interchange System
- Where
- 2 sites in United States
- Volunteers
- 8 people
- Sponsor
- Mayo Clinic
Bronchopulmonary Dysplasia
Early Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Clinical Data
Early Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Clinical Data from the First Three Postnatal Weeks with Large Language Models: A Retrospective Study This retrospective, observational study aims to evaluate…
- Trial name
- NCT07525167
- Testing
- Artificial Intelligence-Based Risk Prediction
- Where
- Turkey (Türkiye)
- Volunteers
- 108 people
- Sponsor
- Konya City Hospital
Moyamoya Disease, Intracranial Hemorrhages
5T MRI and Metabolomics-Based Hemorrhage Risk Prediction in Moyamoya Disease
Intracranial hemorrhage is a leading cause of death and disability in patients with moyamoya disease (MMD), yet clinically available tools for predicting long-term hemorrhage risk are lacking.
- Conditions
- Moyamoya Disease, Intracranial Hemorrhages, Stroke
- Trial name
- NCT07781579
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Beijing Hospital
Glioma
Histopathology Images Based Survival Prediction of Glioma Patients Using Artificial Intelligence
This registry aims to collect clinical, molecular and histopathology imaging including detailed survival data, clinical parameters, molecular pathology (1p/19q codeletion, MGMT methylation, IDH and TERTp mutations, etc) and…
- Trial name
- NCT04215224
- Testing
- Histopathology images based survival prediction for glioma patients
- Where
- China
- Volunteers
- 3,500 people
- Sponsor
- The First Affiliated Hospital of Zhengzhou University
Cerebral Palsy
European Newborn Study: Early Markers for a Better LifE
The goal of this observational study is to create a computer model to help doctors predict any problems occurring during development of babies after being diagnosed with brain injury.
- Trial name
- ENSEMBLE (NCT07189494)
- Where
- 8 sites in France, Germany and 3 more
- Volunteers
- 1,000 people
- Sponsor
- dr. M.J.N.L. Benders
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
Chest Pain, Stroke Acute
Evaluation and Optimization of Telephone Triage Using Artificial Intelligence (AI) Models for the Detection of Demands for Time-dependent Pathology at the Emergency and Urgent Care Coordination Center (CCUE).
Improving Telephone Triage in Emergency Calls with AI The Coordinating Centre for Urgencies and Emergencies in Andalusia (CCUE) handles thousands of calls every day.
- Conditions
- Chest Pain, Stroke Acute, Respiratory Failure, Cardiac Arrest (CA)
- Trial name
- TrIAje Project (NCT07247669)
- Where
- Spain
- Volunteers
- 5,000,000 people
- Sponsor
- Centro de Emergencias Sanitarias 061 Andalucía