Clinical trials: Machine Learning
Alzheimer Disease, MCI
Detecting an MCI and Amyloid Digital Neuro Signature(DNS) Using Altoida's Multimodal Digital Biomarkers.
The purpose of this study is to establish multiple points of clinical validity for the Altoida digital biomarker assessment in individuals with a clinical diagnosis of cognitively normal (CN) and Mild Cognitive Impairment (MCI).
- Trial name
- NCT06223438
- Where
- United States
- Volunteers
- 614 people, healthy volunteers welcome
- Sponsor
- Altoida
Hypopharyngeal Cancer, Laryngeal Cancer
A Machine Learning-Based Risk Prediction Model for Head and Neck Cancerous Lesions
This study aims to develop and validate a clinical prediction model for the risk of head and neck cancerous lesions using deep learning combined with AI algorithms, based on multi-center clinical data.
- Conditions
- Hypopharyngeal Cancer, Laryngeal Cancer, Head and Neck Cancer
- Trial name
- ML-HNC-Risk (NCT07532538)
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Cancer
The Vallania Study: A Case Control Study for the Development of Multiomics Blood Tests for Cancer Screening
This protocol is a case-control, multicenter, diagnostic study to collect blood samples to support the development of blood-based screening tests for multiple cancers.
- Trial name
- NCT05254834
- Testing
- Freenome Test
- Where
- 68 sites in United States
- Volunteers
- 7,435 people, healthy volunteers welcome
- Sponsor
- Freenome Holdings Inc.
Body Weights and Measures, Body Weight in the Overweight and Obese Class - I Population
Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care: Study 2
The goal of this prospective crossover simulation study is to evaluate the accuracy and usability of a 3D camera weight estimation system during simulated emergency care in adult simulated patients, when used by emergency…
- Conditions
- Body Weights and Measures, Body Weight in the Overweight and Obese Class - I Population, Weight Estimation, Emergency Drug Dosing
- Trial name
- NCT06646133
- Testing
- 3D camera weight estimate, Standard methods of weight estimation
- Where
- United States
- Volunteers
- healthy volunteers welcome
- Sponsor
- Florida Atlantic University
Age Problem, Fall
Fall Risk Assessment Using Hybrid Machine Learning and Deep Learning Approaches and a Novel Posturography
The purpose of this project is to combine a novel posturogrpahy based on HTC VIVE trackers and hybrid machine learning and deep learning algorithms to establish a set of simple, convenient and valid fall risk assessment tool.
- Trial name
- NCT05308563
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
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
Non-Alcoholic Fatty Liver Disease, Machine Learning
Metabolic Subtypes of Non-Alcoholic Fatty Liver Disease
The purpose of this study was to use machine learning to explore a more precise classification of NAFLD subgroups towards informing individualized therapy.
- Trial name
- NCT05560997
- Testing
- 10-year ASCVD risk estimation
- Where
- China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Yan Bi
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
Spleen Injury, Machine Learning
Deep Learning Algorithm for Traumatic Splenic Injury Detection and Sequential Localization
Spleen laceration is a lethal abdominal trauma and usually be diagnosed by medical images such as computed tomography. Deep learning had been proved its usage in detect abnormalities in medical images.
- Trial name
- NCT05643612
- Testing
- Deep learning algorithm
- Where
- Taiwan
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Chang Gung Memorial Hospital
Patient Safety
Machine Learning Prediction of Parameters of Early Warning Scores in Intensive Care Units
A large number of different organ functions are recorded in real time for patients being monitored in an intensive care unit. On the one hand, the measured values collected are used for continuous monitoring of vital parameters…
- Trial name
- AIM-PEW-ICU (NCT06259812)
- Testing
- Parameters of Early Warning Scores
- Where
- Austria
- Volunteers
- 8,000 people, healthy volunteers welcome
- Sponsor
- Kepler University Hospital
Murmur, Heart, Innocent Murmurs
Real-World Evaluation of Eko Algorithms in a Point of Care Setting
The purpose of this research is to prospectively test and validate the utility of Eko artificial intelligence (AI) plus Eko Murmur Analysis Software (EMAS) murmur characterization in algorithm in a real world, point-of-care…
- Conditions
- Murmur, Heart, Innocent Murmurs, Heart Murmurs, Pathologic Murmur
- Trial name
- NCT05459545
- Testing
- Use of Eko CORE and Eko CORE 500 electronic stethoscope
- Where
- 5 sites in United States
- Volunteers
- 371 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.
Artificial Intelligence, Machine Learning
Appropriate Use of Blood Cultures in the Emergency Department Through Machine Learning
The goal of this clinical trial is to study whether the use of our blood culture prediction tool is non-inferior to current practice and if it can improve certain outcomes in all adult patients presenting to the emergency…
- Conditions
- Artificial Intelligence, Machine Learning, Microbiology, Emergency Service, Hospital
- Trial name
- ABC (NCT06163781)
- Testing
- Blood culture prediction tool
- Where
- Netherlands
- Volunteers
- 7,584 people, healthy volunteers welcome
- Sponsor
- Amsterdam UMC, location VUmc
Physical Inactivity
The Effect of a Machine Learning-Based Mobile Application on Physical Activity in Overweight and Obese Women
The goal of this clinical trial is to evaluate the effect of an algorithm-driven mobile application that provides personalized recommendations for increasing physical activity, which is an important health behavior, in the…
- Trial name
- NCT06225518
- Testing
- Individualized physical activity management system
- Where
- Turkey (Türkiye)
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Istanbul University - Cerrahpasa
Sepsis
A Clinical Trial to Evaluate the Efficacy of the Morley Medical Sepsis (MMS) Software Device in Predicting Sepsis in Adult Patients Using Artificial Intelligence (AI) Machine Learning Algorithms
This is a pivotal medical device clinical trial evaluating the clinical outcomes in hospitalized patients monitored with the Morley Medical Sepsis Software Device.
- Trial name
- NCT04606862
- Testing
- Morley Medical Sepsis Software Device
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Morley Medical
Medical Oncology, Cancer
Ezra Faster Scan Study
The Ezra Faster Scan study uses non-invasive magnetic resonance imaging (MRI) technology that can "visually" detect early and late-stage cancer, and other pathologies.
- Conditions
- Medical Oncology, Cancer, Healthy
- Trial name
- FasterScan (NCT05385718)
- Testing
- Magnetic Resonance Imaging
- Where
- 5 sites in United States
- Volunteers
- 694 people, healthy volunteers welcome
- Sponsor
- Ezra AI, Inc.
Metabolic Dysfunction-associated Fatty Liver Disease
The Potential Value and Impact of Diagnostic Biomarkers for MAFLD Using Machine Learning Methods
This is a case-control study that aims to build a predictive model for MAFLD based on machine learning.
- Trial name
- NCT06061640
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- The First Affiliated Hospital of Zhejiang Chinese Medical University
Pulmonary Nodule, Solitary, Whole-genome Methylation Sequencing
Benign/Malignant Pulmonary Nodule Classification Based on High-throughput Whole-genome Methylation Sequencing(GM-seq)
Lung cancer is the first cancer in China in terms of morbidity and mortality. The problem of early diagnosis/treatment has always been concerned.
- Trial name
- NCT05415670
- Testing
- Whole-genome Methylation Sequencing(GM-seq)
- Where
- 2 sites in China
- Volunteers
- 158 people, healthy volunteers welcome
- Sponsor
- Geneplus-Beijing Co. Ltd.
Arrhythmias, Cardiac, Cardiac Arrest
Development of a Novel Convolution Neural Network for Arrhythmia Classification
Identifying the correct arrhythmia at the time of a clinic event including cardiac arrest is of high priority to patients, healthcare organizations, and to public health.
- Conditions
- Arrhythmias, Cardiac, Cardiac Arrest, Cardiac Arrythmias
- Trial name
- AI-ECG (NCT03662802)
- Testing
- Neural Network Classifier
- Where
- United States
- Volunteers
- 25,458 people, healthy volunteers welcome
- Sponsor
- Scripps Clinic
Delirium
With the Development of Research, New Algorithms and Technologies Have Emerged, One of Which is Machine Learning. Machine Learning Can Extract Key Factors From Vast Amounts of Data, Identify Underlying Patterns, and Predict Future Trends. In Recent Years, Machine Learning Has Been Widely Used in
The aim of this study is to construct a predictive model for postoperative delirium in elderly patients with hip fractures. The main question it answers is to construct a risk prediction model for hip fractures in the elderly…
- Trial name
- POD (NCT07121309)
- Where
- China
- Volunteers
- 901 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Soochow University
Alzheimer Disease, Aging
Spatial and Ocular Trajectories for the Early Diagnosis of Alzheimer's Disease.
Spatial navigation is a high-level cognitive function that enables humans to orientate themselves and move around in space by constructing a mental representation of the environment.
- Trial name
- ACTSOMA (NCT06213766)
- Testing
- Cognitive assessment, Questionnaires, Spatial navigation task with eye-tracking.
- Where
- 3 sites in France
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Hospices Civils de Lyon