Clinical trials: Neural Network
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)
Aphasia, Nonfluent Aphasia
Neural Networks and Language Recovery in Aphasia From Stroke: fMRI Studies
The purpose of this research is to utilize functional magnetic resonance imaging (fMRI) to investigate brain reorganization for language behavior in stroke patients with aphasia.
- Conditions
- Aphasia, Nonfluent Aphasia, Stroke
- Trial name
- NCT00467103
- Where
- United States
- Volunteers
- 62 people, healthy volunteers welcome
- Sponsor
- VA Office of Research and Development
Healthy Volunteers
Brain Activity During Strategic Planning
This study will locate areas in the brain that help people devise action plans to carry out complex tasks requiring use of strategy.
- Trial name
- NCT00728741
- Where
- United States
- Volunteers
- 16 people, healthy volunteers welcome
- Sponsor
- National Institute of Neurological Disorders and Stroke (NINDS)
Type 2 Diabetes, Insulin Resistance
Characteristics of Papez Loop Neural Network in T2DM （Type 2 Diabetes Mellitus）
This is a cross-sectional and longitudinal study to investigate the characteristic changes in Papez's circuit neural network activity and connectivity based on multimodal MRI, and through follow-up study of the interaction…
- Conditions
- Type 2 Diabetes, Insulin Resistance, Cognitive Impairment
- Trial name
- T2DM (NCT06912321)
- Testing
- No Intervention: Observational Cohort
- Where
- China
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Nanjing First Hospital, Nanjing Medical University
Gait Disorders, Neurologic, Artificial Intelligence
Deep Neural Network for Stroke Patient Gait Analysis and Classification
Lower limbs of stroke patients gradually recover through Brunnstrom stages, from initial flaccid status to gradually increased spasticity, and eventually decreased spasticitiy. Throughout this process.
- Trial name
- NCT04968418
- Testing
- APDM OPAL system wearable IMU
- Where
- Taiwan
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Cheng-Hsin General Hospital
Dental Prosthesis
Artificial Intelligence Designed Single Tooth Dental Prostheses
Tooth loss is common and as consequence deteriorate patient's health and quality-of-life. Dental prostheses aim to restore patients' appearance and functions by replacement of missing teeth.
- Trial name
- NCT05056948
- Testing
- artificial intelligence (AI) computer assisted design (CAD)
- Where
- Hong Kong
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- The University of Hong Kong
Slippery Pulse, Choppy Pulse
Visualization Engineering Platform for TCM Pulse Diagnosis - Pulse Diagnosis Based on Federated Learning to Diagnose Slippery and Choppy and Other Pulses Waveform Image Features to Assist in the Study of TCM Pathological Logic Analysis
The diagnoses processes of Traditional Chinese Medicine (TCM) focus on the following four main types of diagnoses methods consisting of inspection, olfaction, inquiry, and palpation.
- Trial name
- NCT05630248
- Testing
- Recurrent Neural Network
- Where
- Taiwan
- Volunteers
- 240 people, healthy volunteers welcome
- Sponsor
- China Medical University Hospital
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
Tinnitus
Exploration of Cortical Neural Network in Patients With Bothersome Tinnitus
This will be an experimental task-based functional MRI pilot study involving the neuroimaging assessment of patients with severely bothersome tinnitus, defined by a global bothersome scale.
- Trial name
- NCT01385540
- Testing
- Task-Based Functional Magnetic Resonance Imaging (fMRI)
- Where
- United States
- Volunteers
- 7 people, healthy volunteers welcome
- Sponsor
- Washington University School of Medicine
Obsessive-Compulsive Disorder
Function-metabolism Coupling in Decision-making Confidence Neural Network of Obsessive-compulsive Disorder
This study, a case-control study, aims to investigate the function-metabolism coupling in decision-making confidence neural network of obsessive-compulsive disorder.
- Trial name
- NCT05563935
- Testing
- Repetitive transcranial magnetic stimulation
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Shanghai Mental Health Center
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
PET Images and Deep Neural Networks Algorithms
Positron Emission Tomography (PET) Images Using Deep Neural Networks
PET images are based on detecting two annihilation 511 KeV photons that are produced by positron emitting isotopes. The longer the acquisition time, the more photons are detected and processed, resulting in better image quality.
- Trial name
- NCT04140565
- Where
- Israel
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Sheba Medical Center
Healthy Individual
CDSS-assisted UGI Endoscopy vs. Routine Screening Endoscopy
This study aimed to find the CDSS-assisted upper GI endoscopy has clinical benefit compared to conventional routine screening upper GI endoscopy. Investigators will conduct a pilot randomized controlled study.
- Trial name
- NCT05452473
- Testing
- CDSS-assisted upper GI endoscopy, no intervention
- Where
- South Korea
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Chuncheon Sacred Heart Hospital
Aging
Neural Underpinnings of Turning
Older adults and stroke survivors often have difficulty performing complex walking tasks, due in part to changes in the brain. One task often overlooked is turning, which can lead to injury when performed poorly.
- Trial name
- NCT05475236
- Testing
- Experimental: Locomotor Learning
- Where
- United States
- Volunteers
- 16 people, healthy volunteers welcome
- Sponsor
- VA Office of Research and Development
Stability of Attentional Networks Over Multiple Sessions of Computerized Task
Assessment of Stability of Behavioral and Neural Measures of Attention Networks Across Multiple Sessions
The purpose of this research study is to learn more about the stability over multiple recording sessions of brainwave activity during a computerized task that measures different types of attention.
- Trial name
- NCT04033731
- Testing
- Attention Network Task
- Where
- United States
- Volunteers
- 16 people, healthy volunteers welcome
- Sponsor
- University of Florida
Prostate Cancer With PSA Gray Zone
Intelligent Screening and Precision Diagnosis of Prostate Cancer Based on Multimodal Data
This project aims to develop a precision screening and diagnostic solution for prostate cancer based on multimodal artificial intelligence, focusing on addressing the diagnostic challenge in patients within the PSA "gray zone" of…
- Trial name
- NCT07631806
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Guangxi Medical University
AKI
Deep Learning Model and Risk Factors for Tacrolimus-related Acute Kidney Injury
In this study, the investigators aim to develop a risk prediction model for acute kidney injury (AKI) in hospitalized patients using the calcineurin inhibitor tacrolimus.
- Trial name
- NCT06596798
- Where
- China
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Qianfoshan Hospital
Myeloma
Machine Learning in Myeloma Response
Diffusion-weighted Whole Body Magnetic Resonance Imaging (WB-MRI) is a new technique that builds on existing Magnetic Resonance Imaging (MRI) technology.
- Trial name
- MALIMAR (NCT03574454)
- Testing
- Machine Learning (ML)
- Where
- 3 sites in United Kingdom
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Royal Marsden NHS Foundation Trust
Focal Epilepsy, Temporal Lobe Epilepsy
Spatial Scene Recognition Memory in Epilepsy Surgery
This study investigates the anatomical and physiological basis of spatial scene recognition memory in patients with temporal lobe epilepsy and temporal lobe lesions.
- Conditions
- Focal Epilepsy, Temporal Lobe Epilepsy, Medically Refractory Epilepsy, Memory Disorders
- Trial name
- NCT07580183
- Testing
- Virtual Tour Recognition Memory Task, Intracranial EEG Recording with Research Electrodes (Aim III only), MRI Neuroimaging and Neuropsychological Assessment (Aim I)
- Where
- 2 sites in United States
- Volunteers
- 620 people, healthy volunteers welcome
- Sponsor
- University of California, Davis