Clinical trials: Deep Learning
- Condition Deep Learning
- Funder type Industry (pharma, biotech, devices)
- Accepts healthy volunteers yes
Pulmnary Hypertension
Detecting Pulmonary Hypertension With the Eko CORE 500 Digital Stethoscope
This prospective, observational study will evaluate whether synchronized heart sound (phonocardiogram, PCG) and three-lead electrocardiogram (ECG) recordings (entered as separate interventions in PRS, though collected together in…
- Trial name
- EKO-PH (NCT07136623)
- Testing
- Eko CORE 500 phonocardiogram (PCG) recording, Eko CORE 500 three-lead electrocardiogram (ECG) recording
- Where
- 2 sites in United States
- Volunteers
- 1,513 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.
Breast Neoplasms, Breast Cancer Detection
Diagnostic Accuracy of Carebot AI MMG in Mammography Screening: Multicenter MRMC Study
This study evaluates the diagnostic performance of Carebot AI MMG, an artificial intelligence (AI)-enabled medical device for evaluating mammograms.
- Conditions
- Breast Neoplasms, Breast Cancer Detection, Breast Cancer - Female, Breast Cancer Screening
- Trial name
- CARE-MMG-MRMC (NCT07298252)
- Testing
- Carebot AI MMG software analysis
- Where
- 4 sites in Czechia, Slovakia
- Volunteers
- 222 people, healthy volunteers welcome
- Sponsor
- Carebot s.r.o.
Healthy
Retinal Deep Phenotyping.TM
This study aims to collect a baseline dataset of MHRC retinal scans that will be used for the pre-training of deep learning models from the hyperspectral retinal image phenotypic features that may form the basis for multiple…
- Trial name
- NCT05903664
- Where
- United States
- Volunteers
- healthy volunteers welcome
- Sponsor
- Optina Diagnostics Inc.
Sarcopenia, Body Composition
Validation of a Body-Composition Segmentation Software on a Diverse Public CT Scan Cohort
This study evaluates the standalone performance of Soma, a deep-learning software developed by Nucleo Research, Inc. for the automated segmentation of body-composition tissues (skeletal muscle, subcutaneous adipose tissue…
- Conditions
- Sarcopenia, Body Composition, Obesity
- Trial name
- SOMA (NCT07600866)
- Testing
- Soma Body-Composition Segmentation Software
- Where
- United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Nucleo Research, Inc.
Pulmonary Hypertension
Development of an Algorithm to Detect Pulmonary Hypertension Using an Electronic Stethoscope
The major goal of the study is to determine whether phonocardiography (using the Eko DUO stethoscope which can capture a three lead ECG reading) can present features that relate to the presence of PH diagnosed by echocardiography…
- Trial name
- NCT05873387
- Testing
- Use of Eko DUO stethoscope (paired ECG/PCG)
- Where
- 3 sites in United States
- Volunteers
- 2,420 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.
Small for Gestational Age Infant, Fetal Growth Restriction
Developing and Testing AI Models for Fetal Biometry and Amniotic Volume Assessment in Fetal Ultrasound Scans.
Routine fetal ultrasound scan during the second trimester of the pregnancy is a low-cost, noninvasive screening modality that has been proven to lower fetal mortality by up to 20%.
- Conditions
- Small for Gestational Age Infant, Fetal Growth Restriction, Oligohydramnios, Polyhydramnios
- Trial name
- NCT05059093
- Testing
- Classification and segmentation deep learning models
- Where
- 6 sites in Morocco
- Volunteers
- 122 people, healthy volunteers welcome
- Sponsor
- Deepecho
Otitis Media Acute
Clinical Development of Deep Learning for the OtoSight
The objective of this study is to clinically develop and evaluate a machine learning approach to improve the performance and data interpretation of the PhotoniCare OtoSight Middle Ear Scope in pediatric patients presenting at the…
- Trial name
- NCT04722770
- Testing
- PhotoniCare OtoSight Middle Ear Scope
- Where
- United States
- Volunteers
- 188 people, healthy volunteers welcome
- Sponsor
- PhotoniCare, Inc.
High-risk Cardiac Patients
Registry Study for the Evaluation of High-risk Cardiac Patients by WILLEM AI-based ECG Platform
The WILLEM Registry is a large-scale, single-group, observational, registry study to collect continuous clinical evidence of Willem in real-world settings.
- Trial name
- WILLEMRegistry (NCT07333547)
- Testing
- Willem AI ECG assessment
- Where
- 5 sites in United States, Ecuador and 1 more
- Volunteers
- 200,000 people, healthy volunteers welcome
- Sponsor
- Idoven 1903 S.L.
Cardiac
Spectral Precise Image Study for Coronary Artery
This is a single-center, comparative, observational, retrospective data study. Datasets from patients who underwent spectral coronary CT angiography (CCTA) for suspected coronary artery disease (CAD) or other diagnosis needs as…
- Trial name
- NCT07620457
- Testing
- Non-Interventional Study
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Philips Clinical & Medical Affairs Global
Breast Cancer, Breast Lesions
Breast Ultrasound Image Reviewed With Assistance of Deep Learning Algorithms
This study evaluates a second review of ultrasound images of breast lesions using an interactive "deep learning" (or artificial intelligence) program developed by Samsung Medical Imaging, to see if this artificial intelligence…
- Conditions
- Breast Cancer, Breast Lesions, Breast Mass
- Trial name
- NCT03706534
- Testing
- Ultrasound Image review with CADe, Ultrasound Image review with CADx, Ultrasound Image manual review
- Where
- United States
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Samsung Medison
Aortic Stenosis
Multicenter Study for the Validation of Willem AI: Aortic StenoSis Early Diagnosis With AI-electrocardiogram Study
AoS-SEDAI study is an observational, multicenter, retrospective and prospective clinical study. This study aims to assess Willem Artificial Intelligence (AI) ability to distinguish between aortic stenosis (AS) and non-AS patients…
- Trial name
- AoS-SEDAI (NCT07479992)
- Testing
- Willem AI ECG assessment
- Where
- 2 sites in Germany
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Idoven 1903 S.L.
Artificial Intelligence, Deep Learning
Feasibility of Gadolinium Contrast Reduced Brain MRI: the Potential of Deep Learning
MRI scans were performed using 3 different 1.5T scanners with an eight-channel head coils. Following a 3D pre-contrast T1w scan, a low-dose contrast-enhanced 3D T1w scan was obtained using 20% (0.02 mmol/kg) of the standard…
- Trial name
- NCT06462924
- Testing
- DeepGad
- Volunteers
- healthy volunteers welcome
- Sponsor
- DeepMeds
Obstructive Sleep Apnea, Obstructive Sleep Apnea-hypopnea
Updating Deep Learning Algorithms for OSA Monitoring
The objective is to enhance the reliability of the algorithm to match that of Level 1 polysomnography by leveraging the diverse data obtained from Level 1 polysomnography to refine the deep learning algorithm.
- Trial name
- NCT06522815
- Testing
- CART-I plus, Polysomnography
- Where
- South Korea
- Volunteers
- 107 people, healthy volunteers welcome
- Sponsor
- Sky Labs
Heart Failure, Cardiomyopathies
Multimodal Physiologic State Intelligence Study
The OMNIPHYS study will investigate whether multimodal ultrasound and other routinely collected clinical and physiologic data can be combined with artificial intelligence to characterize changes in a person's physiologic state…
- Conditions
- Heart Failure, Cardiomyopathies, Pulmonary Hypertension, Myocarditis; Acute or Subacute
- Trial name
- OMNIPHYS (NCT07814118)
- Testing
- OMNIPHYS Multimodal Ultrasound Imaging System
- Where
- United States
- Volunteers
- 25,000 people, healthy volunteers welcome
- Sponsor
- Truway Health, Inc.
Diabetic Retinopathy
Multicenter Diagnostic Clinical Performance Study For Automated Detection of Diabetic Retinopathy
This study is a retrospective study to assess the efficacy and accuracy of the EyeCheckup software in screening for diabetic retinopathy in healthcare settings.
- Trial name
- NCT05471986
- Testing
- Color Fundus Photography/Non-Mydriatic Opthalmic Cameras
- Volunteers
- 900 people, healthy volunteers welcome
- Sponsor
- Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi
Glaucoma, Age-Related Macular Degeneration
Detecting Eye Diseases Via Hybrid Deep Learning Algorithms From Fundus Images
Eye health is of great importance for quality of life. Some eye diseases can progress and cause permanent damage up to vision loss if they are not treated early.
- Conditions
- Glaucoma, Age-Related Macular Degeneration, Retinal Vein Occlusion, Diabetic Retinopathy
- Trial name
- NCT06213896
- Testing
- Mydriatic Agent, Color Fundus Photography, EyeCheckup v2.0
- Where
- Turkey (Türkiye)
- Volunteers
- 1,528 people, healthy volunteers welcome
- Sponsor
- Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi
COVID-19
Classification of COVID-19 Infection in Posteroanterior Chest X-rays
The objective of this study is to assess three configurations of two convolutional deep neural network architectures for the classification of COVID-19 PCX images.
- Trial name
- NCT04358536
- Testing
- CovX
- Where
- United States
- Volunteers
- 230 people, healthy volunteers welcome
- Sponsor
- Dascena
Healthy
Retinal Deep PhenotypingTM
This study aims to collect a baseline dataset of MHRC retinal scans that will be used for the pre-training of deep learning models from the hyperspectral retinal image phenotypic features that may form the basis for multiple…
- Trial name
- NCT05903651
- Where
- 2 sites in Canada
- Volunteers
- 813 people, healthy volunteers welcome
- Sponsor
- Optina Diagnostics Inc.