Clinical trials: Deep Learning
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.
Valvular Heart Disease
Age and Sex-Specific PREValence of AcqUirEd VALVular Heart DiseasE
The PREVUE-VALVE study will establish reliable, population-based estimates of Valvular Heart Disease (VHD) prevalence among older Americans and allow for the development and validation of several innovative tools to aid in the…
- Trial name
- PREVUE-VALVE (NCT05357404)
- Where
- United States
- Volunteers
- 2,870 people, healthy volunteers welcome
- Sponsor
- Cardiovascular Research Foundation, New York
Intracranial Aneurysm, CT Angiography
IDEAL Study: Blinded RCT for the Impact of AI Model for Cerebral Aneurysms Detection on Patients' Diagnosis and Outcomes
This study (IEDAL study) intends to prospectively enroll more than 6450 patients who will undergo head CT angiography (CTA) scanning in the outpatient clinic.
- Conditions
- Intracranial Aneurysm, CT Angiography, Deep Learning, Double Bind Interaction
- Trial name
- IDEAL (NCT06118840)
- Testing
- True-AI-integrated intracranial aneurysms diagnosis strategy
- Where
- 21 sites in China
- Volunteers
- 6,450 people, healthy volunteers welcome
- Sponsor
- Jinling Hospital, China
Myopia, Small-incision Lenticule Extraction (SMILE) Surgery
Potential Risk Factors and Predictive Model Construction of OBL During SMILE
To explore the prediction of OBL by deep learning model in SMILE surgery
- Trial name
- NCT06577012
- Testing
- Small incision lenticule extraction
- Where
- China
- Volunteers
- 4,678 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
Periodontal Diseases
Deep Learning-Based Measurement of Keratinized Gingiva Width Using Smartphone-Acquired Clinical Images
This study aims to develop and validate an artificial intelligence-based system for automated measurement of keratinized gingiva width using smartphone-acquired intraoral clinical photographs.
- Trial name
- NCT07689552
- Testing
- Artificial Intelligence-Based Keratinized Gingiva Width Assessment
- Where
- Egypt
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Al-Azhar University
Prostate Cancer
Multi-Modal Image Fusion for Precision Prostate Biopsy Navigation
This study is a prospective randomized controlled clinical trial aimed at comparing the detection rates of clinically significant prostate cancer between conventional biopsy methods and AI-assisted biopsy methods in patients…
- Trial name
- NCT06441292
- Testing
- AI-assisted, Non-AI-assisted
- Where
- China
- Volunteers
- 602 people, healthy volunteers welcome
- Sponsor
- Shanghai East Hospital
Mental Disorders
Brain MRI (Magnetic Resonance Imaging) Scans of Patients With Treatment Resistant Depression (TRD) and Healthy Controls
Treatment resistant depression (TRD) is a major health concern, with 10% of patients with major depressive disorder not responding to conventional treatments.
- Trial name
- NCT01162434
- Where
- United Kingdom
- Volunteers
- 21 people, healthy volunteers welcome
- Sponsor
- University of Bristol
Hidroxicloroquine Intake
Deep Learning in the Detection and Prediction of Hydroxychloroquine Maculopathy
Hydroxychloroquine retinal toxicity affects a significant number of patients using this medication. Detection of toxicity is difficult in the early stages of the disease and depends on the subjectivity of the clinician who reads…
- Trial name
- PLAQUINAI (NCT06839443)
- Testing
- Retinopathy group, Control group
- Where
- Portugal
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Centro Hospitalar de Lisboa Central
Gingivitis
Artificial Intelligence for the Diagnosis of Gingivitis
this study aims to use AI to diagnose the stages of gingivitis
- Trial name
- NCT07727421
- Testing
- Artificial intelligence Diagnostic Model
- Where
- Egypt
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Al-Azhar University
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
Skin Lesions
Human-AI Uncertainty Callibration for Improved Skin Lesion Segmentation
The goal of this randomized controlled study is to compare the effect of a new, personalized uncertainty-aware decision model (FDM) to a standard image recognition model in improving the diagnostic accuracy while reducing…
- Trial name
- NCT07468357
- Testing
- Base Model, FDM
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Copenhagen Academy for Medical Education and Simulation
Childhood Obesity
Latinx Family Wellness
Childhood is an opportune time to intervene in obesity because behaviors that are developed during this time can have long-lasting effects and disrupt trajectories of obesity.
- Trial name
- NCT05735600
- Testing
- AyuDa Virtual: Aprender y Utilizar Decisiones Apreciables (Spanish) - Learning and Utilizing Significant Choices (English), AyuDa Written: Aprender y Utilizar Decisiones Apreciables (Spanish) - Learning and Utilizing Significant Choices (English)
- Where
- 2 sites in United States
- Volunteers
- 57 people, healthy volunteers welcome
- Sponsor
- Ana Maria Linares
Androgenetic Alopecia
Harnessing Artificial Intelligence for Diagnosing Androgenetic Alopecia: A Training and Validation Study
The aim of this study is to develop and validate deep learning models in diagnosis of male and female pattern hair loss, and assessment of its severity based on clinical and trichoscopic image by handheld dermoscopy and…
- Trial name
- NCT07294313
- Where
- Egypt
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Cairo University
Scoliosis Patients
Artificial Intelligence and Scoliosis
The aim of the study to use artificial intelligence technology in assessment of scoliosis degree of severity and to personalize for treatment plan for each pa tient .
- Trial name
- NCT06589583
- Where
- Egypt
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Delta University for Science and Technology
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.
Artificial Intelligence, Submerging Tooth
A Deep Learning Approach to Submerged Teeth Classification and Detection
Objectives: The study aimed to compare the success and reliability of an artificial intelligence application in the detection and classification of submerged teeth in orthopantomography (OPG).
- Trial name
- NCT04309851
- Testing
- deep learning
- Where
- Turkey (Türkiye)
- Volunteers
- 74 people, healthy volunteers welcome
- Sponsor
- Eskisehir Osmangazi University
Pulmonary Hypertension, Pulmonary Arterial Hypertension
Artificial Intelligence-assisted Evaluation of Pulmonary HYpertension
Pulmonary hypertension represents a challenging and heterogeneous condition that is associated with high mortality and morbidity if left untreated.
- Trial name
- AIPHY (NCT05566002)
- Testing
- Right heart catheterization
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Chinese Pulmonary Vascular Disease Research Group
Basic Cardiac Life Support
Assessment of Chest Compression Depth Obtained Using the Smartphone Application as an Educational Tool With New Attachment Device
To improve the quality of CPR education, we want to assess the validity and reliability of the feedback depth measured by smartphone applications according to the smartphone attachment sites as an educational tool.
- Trial name
- NCT02964832
- Testing
- Grasp method, Armband-in-hand method, Armband-on-arm method
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Soonchunhyang University Hospital
Breast Cancer
AI Model for Classifying Breast Cancer From Histopathology Images
Breast cancer, a prevalent and potentially fatal disease, underscores the need for early and accurate detection to improve patient outcomes.
- Trial name
- NCT06717984
- Testing
- Biopsy, Mastectomy, Histopathology
- Where
- Bangladesh
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Taufiq Hasan, PhD
Peripheral Vein, Arterial Wave Reflections
Deep Learning Model for Predicting a Peripheral Venous Waveform-based Pulse Pressure Variation
Pulse pressure variation is a monitoring index that indicates the response to fluid therapy in patients receiving mechanical ventilation, and is used as a reference for patients with unstable hemodynamic conditions.
- Conditions
- Peripheral Vein, Arterial Wave Reflections, Pulse Pressure Variation, Stroke Volume Variation
- Trial name
- NCT06734650
- Testing
- peripheral waveform collection
- Where
- South Korea
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- Seoul National University Bundang Hospital