Clinical trials: Machine Learning, open to volunteers
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
Airway Management
Artificial Intelligence-Assisted Ultrasound Assessment of Laryngeal Mask Airway Placement
This prospective observational study aims to develop and evaluate artificial intelligence-based models for the assessment of laryngeal mask airway (LMA) placement in adult patients undergoing elective surgery under general…
- Trial name
- NCT07766382
- Where
- Turkey (Türkiye)
- Volunteers
- 200 people
- Sponsor
- Duzce University
PTSD - Post Traumatic Stress Disorder, Trauma-related Nightmares
Validation of an Algorithm for Predicting Awakenings Associated With Trauma-related Nightmares, Based on the Analysis of Physiological Patterns in Military and Former Military Patients Suffering From Post-traumatic Stress Disorder
The goal of this clinical trial is to validate an artificial intelligence algorithm called CAUD-PIN (CAUchemar Detection on INdividualized Parameters) to predict nightmare-related awakenings in military personnel and veterans…
- Trial name
- CAUD-PIN (NCT07851480)
- Testing
- CAUD-PIN (CAUchemar Detection on INdividualized Parameters) - AI-based predictive algorithm forTrauma-related nightmare awakenings
- Where
- 3 sites in France
- Volunteers
- 27 people
- Sponsor
- Direction Centrale du Service de Santé des Armées
Chronic Respiratory Failure
From Bench to Bedside: A Machine Learning Tool for the Detection of Inspiratory Leak
Study of the applicability of machine learning tools in detecting inspiratory leakage in longterm non-invasive ventilation. The study was conducted in two stages.
- Trial name
- NCT07428694
- Where
- Norway
- Volunteers
- 20 people
- Sponsor
- University of Oslo
Obstructive Sleep Apnea, Hypertension
Assessment of Heart Rate Variability for Predicting Obstructive Sleep Apnea in Patients With Hypertension
This study aims to investigate the relationship between hypertension and obstructive sleep apnea (OSA) using heart rate variability (HRV) as a non-invasive biomarker of autonomic nervous system function.
- Trial name
- HRV-OSA-HTN (NCT07603583)
- Testing
- Polysomnography
- Where
- Taiwan
- Volunteers
- 100 people
- Sponsor
- Kaohsiung Armed Forces General Hospital
Glioma
MR Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence
This registry aims to collect clinical, molecular and radiologic data including detailed clinical parameters, molecular pathology (1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, etc) and conventional/advanced/new…
- Trial name
- NCT04217018
- Testing
- Prediction of molecular pathology
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- The First Affiliated Hospital of Zhengzhou University
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
Cervix Cancer
Development of Clinically High Efficient Platforms for Individualised Treatment of Cervix Cancer
Retrospective study utilizing patient data to develop and validate Machine Learning application. Available imaging data sets of patients who have completed treatment will be used to develop Normal tissue complication probability…
- Trial name
- NCT05102240
- Where
- India
- Volunteers
- 1,800 people
- Sponsor
- Tata Memorial Hospital
Colorectal Cancer, Adenoma Colon
Liquid Biopsy and Machine Learning for Early Colorectal Cancer, Adenomas, Lynch Cancers, and Residual Disease Detection
This is an multicenter study that will test the diagnostic accuracy of a blood test (i.e., a liquid biopsy) for the diagnosis of colorectal cancer (CRC), advanced adenomas (AAs), as well as Lynch-syndrome associated cancers.
- Conditions
- Colorectal Cancer, Adenoma Colon, Adenoma Colon Polyp, Colon Adenoma
- Trial name
- BEACON (NCT07450612)
- Testing
- BEACON
- Where
- 4 sites in Italy
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- San Raffaele University
Emerging Infectious Diseases, COVID-19
Smart Analysis and Decision-Making for Emerging Infectious Diseases
Emerging infectious diseases, such as COVID-19, mpox, and dengue fever, are characterized by rapid transmission, wide impact, and high uncertainty, posing ongoing threats to global public health.
- Conditions
- Emerging Infectious Diseases, COVID-19, Influenza, Mpox (Monkeypox)
- Trial name
- SMART-ID (NCT07678619)
- Testing
- Multi-Agent Integrated Smart Toolkit for Emerging Infectious Diseases, Routine Practices
- Where
- China
- Volunteers
- 108 people
- Sponsor
- Peking University
Colon Cancer
An Exosomal microRNA Signature for Preoperative Staging in Colon Cancer
Recent studies have highlighted the potential benefits of neoadjuvant chemotherapy (NAC) in colon cancer; however, its indication is generally limited to cases corresponding to pathological stage IIB or higher.
- Trial name
- EXPOSE (NCT07255729)
- Testing
- Diagnostic Test: EXPOSE assay（Small RNA-seq of exosomal miRNAs）, Diagnostic Test: EXPOSE RT-qPCR panel
- Where
- United States
- Volunteers
- 400 people
- Sponsor
- City of Hope Medical Center
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
Dementia, Alzheimer Disease
Integrating eSAGE With EHR Data Using Machine Learning for the Early Detection and Monitoring of Cognitive Impairment in Individuals
The goal of this observational trial is to leverage the electronic Self-Administered Gerocognitive Examination (eSAGE), a variety of metadata (a set of data that describes and gives information about other data) collected during…
- Conditions
- Dementia, Alzheimer Disease, Mild Cognitive Impairment, Worried Well
- Trial name
- NCT06017505
- Testing
- electronic self administered gerocognitive examination (eSAGE)
- Where
- United States
- Volunteers
- 1,486 people
- Sponsor
- Douglas Scharre
Hemorrhoid, Hemorrhoid Prolapse
Data-driven Clustering in Hemorrhoid Surgery: Retrospective Monocentric Study for the Identification of Clinical Phenotypes
This retrospective, single-center observational study will use routinely collected perioperative data from adults undergoing surgery for symptomatic hemorrhoidal disease to identify data-driven clinical phenotypes.
- Trial name
- PROCTO-CLUSTER (NCT07427927)
- Testing
- Any surgical procedure for hemorrhoidal disease
- Where
- Italy
- Volunteers
- 100 people
- Sponsor
- IRCCS Policlinico S. Donato
Stroke
Understanding Motor Function in Stroke Patients and Their Functional Brain Reorganization Using Ultra High-field MRI
The MOTIF-STROKE study is embedded within the BrainSync project, aiming to develop innovative strategies for motor rehabilitation of the upper limb.
- Trial name
- MOTIF-STROKE (NCT07339813)
- Testing
- Functional MRI (fMRI) Acquisition
- Where
- France
- Volunteers
- 110 people, healthy volunteers welcome
- Sponsor
- Commissariat A L'energie Atomique
Surgery
Improving Surgeon Performance Measures for Robot-Assisted Surgery
The purpose of this study is to develop new tools to understand surgeon performance to improve surgical training and participant outcomes after surgery.
- Trial name
- NCT06037837
- Testing
- Robotic Surgery
- Where
- 7 sites in United States
- Volunteers
- 1,000 people
- Sponsor
- Memorial Sloan Kettering Cancer Center
Kawasaki Disease
Kawasaki MATCH Trial
Evaluating the impact of a machine-learning clinical decision support tool on provider practice when evaluating febrile patients with Kawasaki Disease (KD) and non-KD illnesses.
- Trial name
- MATCH (NCT07291245)
- Testing
- Kawasaki MATCH
- Where
- United States
- Volunteers
- 200 people
- Sponsor
- University of California, San Diego
Acute Myocardial Infarction (AMI)
POCT Detection for Blood Concentration of Tirofiban in Acute Myocardial Infarction Based on Azo-POP Probe.
The goal of this observational study is to monitor blood drug concentration during the use of tirofiban, predict the occurrence of intraoperative and postoperative complications related to interventional therapy, and evaluate the…
- Trial name
- NCT06836531
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- First Affiliated Hospital of Ningbo University
Movement Disorders, Energy Metabolism
Validating a New Machine-Learned Accelerometer Algorithm Using Doubly Labeled Water
The purpose of this study is to validate previously developed physical function-clustered specific machine-learned accelerometer algorithms to estimate total daily energy expenditure (TDEE) in individuals with general movement…
- Trial name
- ValiDLW (NCT05736302)
- Testing
- Doubly-Labeled Water
- Where
- United States
- Volunteers
- 125 people, healthy volunteers welcome
- Sponsor
- University of Wisconsin, Milwaukee
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