Clinical trials: Neural Network
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
Acute Exacerbation of Chronic Obstructive Pulmonary Disease
The Severity Assessment Model for AECOPD With Combination of Disease and Syndrome
The establishment of the AECOPD severity assessment model can quickly and accurately evaluate the condition, which is of great significance for standardizing diagnosis and treatment, improving efficacy, and improving prognosis.
- Trial name
- NCT06918353
- Testing
- Diagnosis and Severity Grading of AECOPD Disease
- Where
- China
- Volunteers
- 1,500 people
- Sponsor
- Henan University of Traditional Chinese Medicine
Schizophrenia, Bipolar Disorder
Can Neural Network Instability in Schizophrenia be Improved With a Very Low Carbohydrate Ketogenic Diet?
Wide ranging cognitive deficits are major drivers of functional decline and poor outcomes in people with schizophrenia (SZ) and bipolar disorder (BD).
- Trial name
- NCT05268809
- Testing
- Ketogenic diet
- Where
- United States
- Volunteers
- 71 people
- Sponsor
- Northern California Institute of Research and Education
Diabetes
Validation of the Diabetes Deep Neural Network Score for Diabetes Mellitus Screening
The Validation of the Diabetes Deep Neural Network Score (DNN score) for Screening for Type 2 Diabetes Mellitus (diabetes) is a single center, unblinded, observational study to clinically validating a previously developed remote…
- Trial name
- NCT05303051
- Testing
- Application Validation
- Where
- United States
- Volunteers
- healthy volunteers welcome
- Sponsor
- University of California, San Francisco
Stroke, Acute
Establishing a Prognostic Model for Stroke Recovery
This main aim of the study is to investigate the changes in neurophysiological features after stroke, and its association with upper limb motor recovery, so as to establish a prognostic model for upper limb motor recovery after…
- Trial name
- NCT05332652
- Testing
- trancranial magnetic stimulation
- Where
- 2 sites in Singapore
- Volunteers
- 41 people, healthy volunteers welcome
- Sponsor
- National University Hospital, Singapore
Arrhythmias, Cardiac
Automated Diagnostic Performance of Smartwatch ECG for Arrhythmia Detection Using the PulseAI Neural Network.
The study is to evaluate the performance of the PulseAI neural network technology at interpreting ECG data recorded using a single-lead Smartwatch (Apple Watch).
- Trial name
- NCT05668377
- Testing
- PulseAI ECG Platform
- Where
- Ireland
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- PulseAI Ltd
Age Problem
Assessing the Precision of Convolutional Neural Networks for Dental Age Estimation From Panoramic Radiographs
The aim of this study is to assess the accuracy of a convolutional neural network in dental age estimation from digital panoramic radiographs. The reference standard will be the chronological age of the patient.
- Trial name
- NCT05901857
- Testing
- convolutional neural network
- Where
- Egypt
- Volunteers
- 22 people
- Sponsor
- Cairo University
Dementia, Alzheimer s Disease
Brain Wave Informed Non-invasive Brain Stimulation: Improving Neural Networks of Working Memory in Dementia: a Proof-of-concept Study
Working memory helps us hold information for a short time so one can think and make decisions. It keeps thoughts on track. As one gets older, working memory gets weaker.
- Trial name
- BWIBS-WM (NCT07673770)
- Testing
- EEG-triggered TMS
- Where
- Canada
- Volunteers
- 30 people
- Sponsor
- McMaster University
Perinatal Hypoxia, Dopamine
Measuring Brain Activity of School Age Children
This observational study will investigate whether differences in birth events and oxygen levels during the newborn period affects the brain activity of children during the middle childhood years.
- Conditions
- Perinatal Hypoxia, Dopamine, Neurobehavioral Manifestations
- Trial name
- NCT03407729
- Testing
- Magnetic Resonance Imaging, Cognitive Performance Testing
- Where
- United States
- Volunteers
- 21 people, healthy volunteers welcome
- Sponsor
- Case Western Reserve University
Kidney Cancer
Renal Cancer Detection Using Convolutional Neural Networks
We aim to experiment and implement various deep learning architectures in order to achieve human-level accuracy in Computer-aided diagnosis (CAD) systems.
- Trial name
- RCCCNN (NCT03857373)
- Where
- Denmark
- Volunteers
- 5,000 people
- Sponsor
- Nessn Azawi
Blood Pressure Control, Hypertension
Direct Electrical Stimulation of Central Autonomic Network for Blood Pressure Control: a Mechanism Study
The primary objective of this research is to study direct electrical stimulation of central autonomic network for blood pressure control.
- Trial name
- NCT07844239
- Testing
- direct electrical stimulation
- Volunteers
- 20 people
- Sponsor
- Xuanwu Hospital, Beijing
Hepatocellular Carcinoma, Chronic Liver Disease
Risk Stratification of Hepatocarcinogenesis Using a Deep Learning Based Clinical, Biological and Ultrasound Model in High-risk Patients
By 2030, hepatocellular carcinoma (HCC) will become the second leading cause of cancer-related death, accounting for more than one million deaths per year according to the World Health Organization.
- Trial name
- STARHE (NCT04802954)
- Testing
- Video acquisition
- Where
- 6 sites in France
- Volunteers
- 400 people
- Sponsor
- IHU Strasbourg
Acute Depression, Major Depressive Episode
Study of Functional Networks in Resting fMRI
The primary purpose is to compare with resting fMRI the functional networks of rest (RTS) in unipolar depression and in bipolar depression.
- Trial name
- DEPIMAGE (NCT03323073)
- Testing
- Resting state fMRI
- Volunteers
- 37 people, healthy volunteers welcome
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Major Depressive Disorder, Depression
Brain Imaging of rTMS Treatment for Depression
The overarching goal of this research program is to elucidate causal and directional neural network- level abnormalities in depression, and how they are modulated by an individually-tailored, circuit-directed intervention.
- Trial name
- NCT01829165
- Testing
- rTMS Treatment
- Where
- United States
- Volunteers
- 85 people, healthy volunteers welcome
- Sponsor
- Stanford University
Skin Diseases
Deep Neural Networks on the Accuracy of Skin Disease Diagnosis in Non-Dermatologists
Background: Deep neural networks (DNN) has been applied to many kinds of skin diseases in experimental settings. Objective: The objective of this study is to confirm the augmentation of deep neural networks for the diagnosis of…
- Trial name
- NCT04636164
- Testing
- Model Dermatology (deep neural networks; Build 2020)
- Where
- South Korea
- Volunteers
- 55 people
- Sponsor
- Pyoeng Gyun Choe
SCHIZOPHRENIA 1 (Disorder), Nicotine Use
Behavioral Impact and Neural Correlates of Network-based Brain Stimulation in Schizophrenia
The primary aims of this study are to investigate the behavioral effects of applying targeted transcranial magnetic stimulation (TMS) to a node of the brain network subserving attention in schizophrenia and schizoaffective…
- Trial name
- NCT07190352
- Testing
- iTBS to the DMN, cTBS to the DMN
- Where
- United States
- Volunteers
- 15 people
- Sponsor
- Beth Israel Deaconess Medical Center
Hypertensive Retinopathy
Assessment of Hypertensive Retinopathy Using Neural Network "RetinAIcheck"
The current study is aimed at estimating the diagnostic effectiveness of a developed neural network "RetinAIcheck" in grading the severity of hypertensive retinopathy in patients of the Russian population.
- Trial name
- NCT07471971
- Testing
- Convolutional neural network "RetinAIcheck"
- Where
- Russia
- Volunteers
- 755 people, healthy volunteers welcome
- Sponsor
- I.M. Sechenov First Moscow State Medical University
Dysphagia
Mechanisms of Air-pulse Pharyngeal Sensory Stimulation Regulation Post-stroke Swallowing Neural Network Remodeling Via TRPV4 Channel
This randomized, double-blind, sham-controlled clinical trial will investigate the effects and potential neural mechanisms of pharyngeal air-pulse sensory stimulation in patients with post-stroke dysphagia.
- Trial name
- NCT07782424
- Testing
- Air-Pulse Sensory Stimulation
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- First People's Hospital of Foshan
Scapholunate Interosseous Ligament, Torn Wrist Ligaments
Biomechanical Evaluation of Wrist Ligament Injuries: Diagnostic Tool to Detect Wrist Instability
Damage to the ligaments of the wrist occurs frequently, however, it is not well publicized or understood. Our previous and current biomechanical studies have shown that damage to certain wrist ligaments is the likely cause of…
- Trial name
- NCT00657072
- Where
- United States
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- State University of New York - Upstate Medical University
Pneumoconiosis
Evaluation of Pneumoconiosis High Risk Early Warning Models
Precaution of pneumoconiosis is more important than treatment. However, the current process can't early warn the high-risk dust exposed workers until they are diagnosed with pneumoconiosis.
- Trial name
- NCT04952675
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Peking University Third Hospital