Clinical trials: Neural Network
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
Developmental Articulation Disorder, Stuttering
Study of Brain Activity During Speech Production and Speech Perception
The purpose of this study is to gain a better understanding of the brain's activity and organization in the development of speech disorders.
- Trial name
- NCT00004991
- Where
- United States
- Volunteers
- 411 people, healthy volunteers welcome
- Sponsor
- National Institute of Neurological Disorders and Stroke (NINDS)
Diabetic Retinopathy, Glaucoma
AI for the Detection of Retinal Disease and Glaucoma in Patients With Diabetes Mellitus in Primary Care
Background: Diabetic retinopathy (DR) is one of the most important causes of blindness worldwide, especially in developed countries.
- Conditions
- Diabetic Retinopathy, Glaucoma, Age-Related Macular Degeneration, Choroidal Nevus
- Trial name
- NCT04132401
- Testing
- algorithm
- Where
- Spain
- Volunteers
- 902 people
- Sponsor
- Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
Angelman Syndrome
Study on the Brain Network of Angelman Syndrome
The aims of study on Angelman syndrome: 1. Establish the Angelman syndrome database 2. Explore the brain Network of Angelman Syndrome Based on Multi-modal Brain Image and Neural-EEG Data
- Trial name
- NCT03358823
- Where
- China
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- Fudan University
Endometriosis
Deep Neural Network Stratification for Use Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)
The goal of this observational study is to determine the clinical validity of a deep neural network algorithm that utilizes protein biomarker detection of Endometriosis - "EndoCheck" - as an "aid in diagnosis" for endometriosis…
- Trial name
- NCT05245695
- Testing
- Observational study, no intervention
- Where
- 10 sites in United States
- Volunteers
- 1,200 people
- Sponsor
- Aspira Women's Health
Math Learning Disability, Child Development
Interventions in Mathematics and Cognitive Skills
The purpose of this study is to investigate neurocognitive mechanisms underlying response to intervention aimed at enhancing, and remediating weaknesses in, numerical skills in children, including those with mathematical learning…
- Conditions
- Math Learning Disability, Child Development, Developmental Disability, Learning Disabilities
- Trial name
- NCT05201534
- Testing
- Interventions in Mathematics and Cognitive Skills - Experimental, Interventions in Mathematics and Cognitive Skills - Active Comparator
- Where
- United States
- Volunteers
- 180 people, healthy volunteers welcome
- Sponsor
- Stanford University
Ophthalmological Disorder, Image, Body
Explainable Ocular Fundus Diseases Report Generation System
To establish a deep learning system of various ocular fundus disease analytics based on the results of multimodal examination images.
- Trial name
- NCT05622565
- Testing
- Various modalities of ocular fundus imaging
- Where
- China
- Volunteers
- 15,000 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Cardiac Surgical Procedures, Pediatrics
Bayesian Networks in Pediatric Cardiac Surgery
Pediatric cardiac surgery with cardiopulmonary bypass is associated with significant morbidity and mortality. Also score systems for risk factors, such as Risk Adjustment for Congenital Heart surgery (RACHS 1) score or the…
- Conditions
- Cardiac Surgical Procedures, Pediatrics, Cardiopulmonary Bypass
- Trial name
- NCT05537168
- Testing
- Pediatric cardiac surgery under cardiopulmonary bypass
- Where
- Belgium
- Volunteers
- 1,364 people
- Sponsor
- Brugmann University Hospital
Chronic Stroke
Brain Imaging Study of Brain Plasticity in Chronic Stroke Patients
In chronic stroke patients, brain network reorganization and recovery mechanism are investigated after stroke onset using functional MRI and diffusion tensor imaging analyses.
- Trial name
- NCT03392519
- Testing
- Chronic stroke
- Where
- South Korea
- Volunteers
- 59 people
- Sponsor
- Samsung Medical Center
Basal Cell Carcinoma
AI-Based Risk Classification and Histopathological Subtype Prediction of Basal Cell Carcinoma Using Dermoscopic Images
This retrospective observational study aims to develop and evaluate a convolutional neural network (CNN)-based artificial intelligence model for risk classification and histopathological subtype prediction of basal cell carcinoma…
- Trial name
- BCC-AI (NCT07677124)
- Where
- Turkey (Türkiye)
- Volunteers
- 2,500 people
- Sponsor
- Istanbul Training and Research Hospital
Cleft Lip and/or Palate, Speech Disorder
Neural Changes After Speech Therapy in Patients With Cleft Palate: A Brain Imaging Study
Cleft palate is one of the most common maxillofacial congenital malformations, which results in severe speech disorders. Compensatory articulation disorder, also known as non-oral articulation disorder (NOA), is considered as the…
- Conditions
- Cleft Lip and/or Palate, Speech Disorder, Speech Therapy, Brain
- Trial name
- fMRI-Speech-CP (NCT07330687)
- Testing
- Structured Speech Training for Decompensation
- Where
- China
- Volunteers
- 164 people, healthy volunteers welcome
- Sponsor
- Shufan Zhao
Congenital Microtia
Deep Learning for Flap Perfusion Detection
The aim of this study is to develop a convolutional neural network-based image recognition model to identify flap perfusion abnormalities after first-stage auricular reconstruction in patients with congenital microtia.
- Trial name
- DL-FPA (NCT07846332)
- Testing
- AI-assisted remote monitoring of flap perfusion abnormalities after first-stage auricular reconstruction
- Where
- China
- Volunteers
- 232 people
- Sponsor
- Jing Xu
Bladder Cancer
Bladder Cancer Detection Using Convolutional Neural Networks
The investigators aim to experiment and implement various deep learning architectures to achieve human-level accuracy in Computer-aided diagnosis (CAD) systems.
- Trial name
- BLAInostic (NCT05193656)
- Testing
- Al_bladder
- Where
- Denmark
- Volunteers
- 5,000 people
- Sponsor
- Zealand University Hospital
Developmental Language Disorders, Developmental Articulation Disorder
Smart Computing Models, Sensors, and Early Diagnostic Speech and Language Deficiencies Indicators in Child Communication
This clinical trial aims to justify a protocol for designing and developing an automated decision-making system to support and enhance screening and early detection procedures for developmental speech/language difficulties in…
- Conditions
- Developmental Language Disorders, Developmental Articulation Disorder, Speech Disorder, Neurodevelopmental Disorder (Diagnosis)
- Trial name
- SmartSpeech (NCT06633874)
- Testing
- TD Playing the Serious Game APSOU, Non-TD Playing Serious Game
- Where
- Greece
- Volunteers
- 520 people, healthy volunteers welcome
- Sponsor
- University of Ioannina
Skull Defect
Development of Three-dimensional Deep Learning for Automatic Design of Skull Implants
This project aims to develop an effective deep learning system to generate numerical implant geometry based on 3D defective skull models from CT scans.
- Trial name
- NCT05603949
- Testing
- 3D deep learning neural network system
- Where
- Taiwan
- Volunteers
- 6 people
- Sponsor
- Chang Gung Memorial Hospital
Femoroacetabular Impingement Syndrome
AI-Based Screening and Diagnostic Models for Femoroacetabular Impingement Syndrome (FAIS-AI)
Femoroacetabular impingement syndrome (FAIS) is the leading cause of hip pain in young adults and frequently progresses to osteoarthritis, often exacerbated by delayed diagnosis in primary care.
- Trial name
- FAIS-AI (NCT07737223)
- Where
- China
- Volunteers
- 2,617 people
- Sponsor
- ChunBao Li
Severe Asthma
Using NLP and Neural Networks to Autonomously Identify Severe Asthma and Determine Study Eligibility in a Large Healthcare System
The study aims to to use new technologies (ML, AI, NLP), to autonomously identify moderate to severe asthma populations within an EHR system, describe differences in treatment patterns across different populations, and determine…
- Trial name
- NCT06389058
- Testing
- Recommendation for the diagnoses and treatment of Severe Asthma
- Where
- United States
- Volunteers
- 31,795 people
- Sponsor
- San Diego State University
Premature Birth
Plasticity of Neonatal Neuronal Networks Temporal Theta Activity, the First Endogenous
Temporal theta slow-wave activity (TTA-SW) in premature infants is a specific signature of the early development of temporal networks, as it is observed at the turning point between non-sensory driven spontaneous local processing…
- Trial name
- NEURONAUX (NCT03677908)
- Testing
- ElectroEncephaloGraphy
- Where
- France
- Volunteers
- 28 people
- Sponsor
- Centre Hospitalier Universitaire, Amiens
Hypospadias
Identification of Hypospadias Parameters Using Digital Photography and Artificial Intelligence
The goal of this observational study is to develop and validate a digital pattern recognition system based on artificial neural network to determine various parameters in hypospadias.
- Trial name
- ASHOKA (NCT05569863)
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Universitas Indonesia
Normal Volunteers, Cognition Disorders
Neural Mechanisms of Motor and Cognitive Networks
This study investigates the neural mechanisms of motor and cognitive networks using cognitive assessment, reaction time measurement, high-density EEG and fMRI.
- Conditions
- Normal Volunteers, Cognition Disorders, Motor Disorders
- Trial name
- NCT02828813
- Where
- China
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- National Research Center for Rehabilitation Technical Aids