Clinical trials: Machine Learning, open to volunteers
Lynch Syndrome, Li Fraumeni Syndrome
Video Capsule Examination in Patients With Lynch Syndrome
Surveillance for colorectal cancer (CRC) in patients predisposed to develop CRC during their lifetime has been impacted by access to colonoscopy suites and endoscopy specialists in the past couple of years.
- Conditions
- Lynch Syndrome, Li Fraumeni Syndrome, PTEN Hamartoma Syndrome, FAP
- Trial name
- PILLCAM (NCT06712095)
- Testing
- Video capsule investigation
- Where
- United Kingdom
- Volunteers
- 25 people, healthy volunteers welcome
- Sponsor
- Royal Marsden NHS Foundation Trust
Breast Cancer, Benign Breast Condition
ATUSA Ultrasound Diagnostic Imaging for Breast Lesions Evaluation (AUDIBLE) - iSono Health
AUDIBLE is a multi-site, clinical study conducted in the United States aimed at gathering data on 3D Automated Breast Ultrasound imaging using the iSono Health ATUSA system.
- Conditions
- Breast Cancer, Benign Breast Condition, Breast Fibroadenoma, Breast Neoplasms
- Trial name
- AUDIBLE (NCT07505797)
- Testing
- ATUSA 3D Automated Breast Ultrasound System
- Where
- 2 sites in United States
- Volunteers
- 800 people
- Sponsor
- iSono Health, Inc.
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
Low-gradient Aortic Stenosis, Aortic Stenosis
AI Assessment of Low-Gradient Aortic Stenosis Severity Based on Echocardiography
The purpose of this study is to evaluate the effectiveness of an artificial intelligence (AI) model developed by the investigators for identifying severe low-gradient aortic valve stenosis.
- Trial name
- ASAI-POL (NCT07144189)
- Testing
- AI diagnostic test for severe low-gradient aortic stenosis
- Where
- Poland
- Volunteers
- 300 people
- Sponsor
- National Institute of Cardiology, Warsaw, Poland
NSCLC (Non-small Cell Lung Cancer), Squamous Lung Cancer With FGFR1 Amplification
Clinical Study of the Therapeutic Effectiveness of In-silico-Designed, Machine Learning Inspired, and Quantum-molecularly Coupled Personalized Neoantigenic Vaccines Microlyvaq™ in Patients With Advanced Non-small Cell Lung Cancer
Microlyvaq™ is a first-line, non-randomized, two-arm clinical trial in advanced non-small cell lung cancer (NSCLC). In both arms, patients receive a personalized multi-epitope vaccine (Microlyvaq™) on top of standard-of-care…
- Conditions
- NSCLC (Non-small Cell Lung Cancer), Squamous Lung Cancer With FGFR1 Amplification, Non-Squamous Non Small Cell Lung Cancer
- Trial name
- Microlyvaq™ (NCT07285434)
- Testing
- Microlyvaq™ (Personalized Multi-Epitope Immunotherapeutic)
- Where
- Greece
- Volunteers
- 90 people
- Sponsor
- Biogenea Pharmaceuticals Ltd.
Brain Arteriovenous Malformations
Evaluation of Clinical Outcomes of Unruptured bAVMs Treated With Medical Management Alone Based on Multimodal CT
The purpose of this study is to investigate the role of multimodal CT in evaluating and predicting different clinical outcomes in patients with unruptured brain arteriovenous malformations with medical management alone.
- Trial name
- NCT05449106
- Where
- 4 sites in China
- Volunteers
- 200 people
- Sponsor
- Beijing Tiantan Hospital
Intraoperative Hypotension, Perioperative Care
Machine Learning-Assisted Management of Intraoperative Hypotension for Personalized Treatment
Intraoperative hypotension, defined as a drop in blood pressure during surgery, is a frequent event in patients undergoing general anesthesia.
- Conditions
- Intraoperative Hypotension, Perioperative Care, Hemodynamic Monitoring, Blood Pressure
- Trial name
- HYPOGUARD (NCT07396636)
- Where
- Turkey (Türkiye)
- Volunteers
- 50 people
- Sponsor
- Nevsehir Public Hospital
Cardiac Arrhythmias, Acute Myocardial Infarction (AMI)
Predict Arrhythmia Risk Using Intelligent Software
Cardiac arrhythmias frequently occur in patients admitted to the Coronary Care Unit (CCU). The majority of these patients are treated for an acute myocardial infarction, which carries an increased risk of life-threatening…
- Conditions
- Cardiac Arrhythmias, Acute Myocardial Infarction (AMI), Ventricular Tachycardia (VT), Ventricular Fibrillation
- Trial name
- PARIS (NCT07792694)
- Where
- Netherlands
- Volunteers
- 3,000 people
- Sponsor
- Catharina Ziekenhuis Eindhoven
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
Dementia
Virtual Reality Intervention for Family Caregivers of Persons Living With Dementia
This study explores the effects of a virtual reality intervention on family caregivers of persons living with dementia
- Trial name
- NCT07248345
- Testing
- virtual reality intervention
- Volunteers
- 60 people
- Sponsor
- Chang Gung Memorial Hospital
Breast Cancer
Artificial Intelligence and Machine Learning to Guide CDK4/6 Inhibitor Rechallenge in Breast Cancer.
The goal of this clinical trial is to learn if an artificial intelligence model will be able to select patients with advanced breast cancer who may respond to a second cyclin-dependent kinase 4/6 (CDK4/6) inhibitor after they…
- Trial name
- AIM-BRIGHT (NCT07227233)
- Testing
- A CDK4/6 inhibitor different from the first that the participant had received, plus fulvestrant., Treatment of physician's choice
- Where
- United States
- Volunteers
- 105 people
- Sponsor
- University of California, San Diego
Acute Myocardial Infarction, Cardiac Rehabilitation
Effect of Digital Therapeutics for Cardiac Rehabilitation in Patients With Acute Myocardial Infarction
This study adopts a multicenter, open-label, randomized controlled clinical study, with Jiangsu Provincial People's Hospital as the leading unit, and the other 13 hospitals as cooperative units.
- Trial name
- NCT06772337
- Testing
- digital cardiac rehabilitation, Regular Treatment
- Where
- China
- Volunteers
- 160 people
- Sponsor
- The First Affiliated Hospital with Nanjing Medical University
Autism, Autism Spectrum Disorder
Online Evaluation of the Diagnostic Accuracy of BlinkLab's Digital Assessments for Autism
This observational study aims to evaluate how patterns of behavioral and sensorimotor responses measured using the BlinkLab Dx1 smartphone application relate to autism diagnoses in children ages 2 to 11.
- Conditions
- Autism, Autism Spectrum Disorder, Autism Spectrum Disorder (ASD), Neurodevelopmental Conditions
- Trial name
- NCT07590973
- Testing
- BlinkLab Dx1, Retrospective Neurodevelopmental Diagnostic Assessment
- Where
- United States
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Blinklab Limited
Heart Failure, Heart Failure, Diastolic
Data-Driven Phenotyping in Heart Failure With Preserved Ejection Fraction
The goal of this observational study is to learn how people with Heart Failure with Preserved Ejection Fraction (HFpEF) can be grouped into different "phenotypes" based on their clinical information.
- Conditions
- Heart Failure, Heart Failure, Diastolic, Heart Failure With Preserved Ejection Fraction (HFPEF)
- Trial name
- NCT07429396
- Where
- 2 sites in Portugal
- Volunteers
- 200 people
- Sponsor
- Instituto Politécnico de Leiria
Respiratory Failure, Critical Illness
Combining Chest X-Ray and Arterial Blood Gas Findings to Predict Need for Mechanical Ventilation in Critically Ill Patients
This prospective cross-sectional study aims to develop and validate a machine learning model that combines chest X-ray findings with arterial blood gas (ABG) analysis to assess the necessity for mechanical ventilation in…
- Conditions
- Respiratory Failure, Critical Illness, Mechanical Ventilation
- Trial name
- NCT07001696
- Where
- Egypt
- Volunteers
- 2,160 people
- Sponsor
- Zagazig University
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
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
Anastomotic Leaks
Surgical Intuition in Anastomotic Leakage After Colorectal Surgery
The SURGUT study aims to assess how well a computer model predicts bowel leaks after surgery. It will also examine whether adding surgeons' intuition improves these predictions.
- Trial name
- SURGUT (NCT07888478)
- Where
- 2 sites in Switzerland
- Volunteers
- 4,300 people
- Sponsor
- University Hospital, Basel, Switzerland
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
Prediction of Disease Progression, Multiple Sclerosis
Disease Progression in ms
Demographic and clinical data will be obtained from people with MS. Based on this data, the progression of the disease will be predicted with artificial intelligence.
- Trial name
- NCT07292116
- Volunteers
- 53 people
- Sponsor
- Hüseyin Bektaş