Clinical trials: Neural Network
Volatile Organic Compounds, Radiography
Tuberculosis Screening in Paraguayan Prisons
Two diagnostic tools for TB screening in high risk groups need additional assessment: the AeoNose™, an 'electronic nose device' for breath sampling, and digital chest X-ray (CXR) with computer aided detection with CAD4TB®…
- Trial name
- Prinose (NCT04407325)
- Testing
- electronic nose device, dig chest Xray with automated readings
- Where
- 2 sites in Paraguay
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Radboud University Medical Center
Covid19
Evaluation of a COVID-19 Pneumonia CXR AI Detection Algorithm
This study investigates the diagnostic performance of an AI algorithm in the detection of COVID-19 pneumonia on chest radiographs.
- Trial name
- NCT04561024
- Testing
- AI model
- Where
- Hong Kong
- Volunteers
- 4,000 people, healthy volunteers welcome
- Sponsor
- Ensemble Group Holdings, LLC
Slippery Pulse
Visualization Engineering Platform for Pulse Diagnosis of Traditional Chinese Medicine-The Research of Similar Moiré Feature Analyzing Approach Based on Recurrent Neural Network to Process the Measured Slip Pulse Wave-Images With Chun, Guan and Chy
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
- NCT04661605
- Testing
- Recurrent Neural Network
- Where
- Taiwan
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- China Medical University Hospital
Stuttering
Shaping Motor Neural Functioning of Developmental Stuttering to Improve Fluency
Developmental stuttering (DS) is a motor/speech disorder, characterized by specific alterations in the functioning of brain circuits.
- Trial name
- NCT05306782
- Testing
- transcranial Electrical Stimulation, Speech Therapy
- Where
- Italy
- Volunteers
- 24 people, healthy volunteers welcome
- Sponsor
- IRCCS San Camillo, Venezia, Italy
Diagnositic Efficacy of Deep Convolutional Neural Network in Differentiation of Glaucoma Visual Field From Non-glaucoma Visual Field
Diagnostic Efficacy of CNN in Differentiation of Visual Field
Glaucoma is currently the leading cause of irreversible blindness in the world. The multi-center study is designed to evaluate the efficacy of the convolutional neural network based algorithm in differentiation of glaucomatous…
- Trial name
- NCT03759483
- Testing
- AI diagnostic algorithm
- Where
- China
- Volunteers
- 437 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Traumatic Brain Injury, Cerebrocardiac Syndrome
Neural Mechanism of Cerebrocardiac Syndrome Following Traumatic Brain Injury
Cerebrocardiac syndrome (CCS), including myocardial injury, arrhythmia or heart failure is one of serious complications of traumatic brain injury (TBI), mostly occurs within seven days after TBI, which directly aggravates the…
- Trial name
- NCT06958406
- Where
- 2 sites in China
- Volunteers
- 90 people, healthy volunteers welcome
- Sponsor
- Shanghai 6th People's Hospital
Chronic Low-back Pain, Myofascial Pain
Ultrasound Imaging for Myofascial Pain
The goal of this observational study is to develop and validate a biomarker for lumbar myofascial pain (MP) based on ultrasound obtained measurements of the lumbar muscles and fascia.
- Trial name
- NCT05928884
- Testing
- There is no intervention. It is a phenotyping study only
- Where
- United States
- Volunteers
- 124 people, healthy volunteers welcome
- Sponsor
- University of Pittsburgh
Posterior Chamber Phakic Intraocular Lens, Vault
Study on the Diagnostic Efficacy of ICL Selection and Prediction Depth Model Based on Eye Images
To evaluate the diagnostic efficacy of deep learning network model in implantable collamer lens selection and prediction in a multicenter cross-sectional study
- Conditions
- Posterior Chamber Phakic Intraocular Lens, Vault, Deep Neural Network, Myopia
- Trial name
- NCT06669728
- Testing
- AI diagnostic algorithm
- Where
- China
- Volunteers
- 326 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
Stroke, Motor Activity
Gait Mate: Examining Neural Networks Engaged During Lower Extremity Movement in the MRI
Less than 50% of stroke survivors progress to independent community ambulation. Even among the stroke survivors who achieve independent ambulation, significant residual deficits persist in balance and gait speed, with 60% of…
- Trial name
- NCT03604367
- Testing
- GAITRite assessment
- Where
- United States
- Volunteers
- 21 people, healthy volunteers welcome
- Sponsor
- Medical University of South Carolina
Stress
Home-based Stimulation to Promote Resilience
Background: Non-invasive brain stimulation showed to be effective in reduce stress related cognitive and mental-health consequences.
- Trial name
- NCT06051071
- Testing
- Transcranial Direct Current Stimulation (tDCS)
- Where
- Spain
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Institut Guttmann
THC
Multimodal Magnetoencephalography and Electroencephalography Exploration of the Acute Effects of THC Exposure on Neural Noise and Information Transmission Within Working Memory Networks
The purpose of this study is to use non-invasive brain imaging methods (MEG and EEG) to characterize the effects of THC on brain activity during learning.
- Trial name
- THC-MEG (NCT05641766)
- Testing
- THC
- Where
- United States
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Yale University
Arrhythmias, Cardiac, Cardiac Arrest
Development of a Novel Convolution Neural Network for Arrhythmia Classification
Identifying the correct arrhythmia at the time of a clinic event including cardiac arrest is of high priority to patients, healthcare organizations, and to public health.
- Conditions
- Arrhythmias, Cardiac, Cardiac Arrest, Cardiac Arrythmias
- Trial name
- AI-ECG (NCT03662802)
- Testing
- Neural Network Classifier
- Where
- United States
- Volunteers
- 25,458 people, healthy volunteers welcome
- Sponsor
- Scripps Clinic
COVID19
Evaluation of the AudibleHealth Dx AI/ML-Based Dx SaMD Using FCV-SDS in the Diagnosis of COVID-19 Illness
The AudibleHealth Dx is a diagnostic software as a medical device (Dx SaMD) consisting of an ensemble of software subroutines that interacts with a proprietary database of Signal Data Signatures (SDS), using Artificial…
- Trial name
- NCT05175690
- Testing
- Diagnostic Software as Medical Device
- Where
- United States
- Volunteers
- 1,126 people, healthy volunteers welcome
- Sponsor
- AudibleHealth AI, Inc.
Robot Surgery
Transfer Learning of a Neural Network for Robotic Surgical Assessment
The goal of this observational study is to explore how pretrained artificial intelligence (AI) models, trained on preclinical data, can improve the accuracy of action recognition and skills assessment in robot-assisted surgery…
- Trial name
- NCT06612606
- Testing
- observational study
- Where
- Denmark
- Volunteers
- 5 people, healthy volunteers welcome
- Sponsor
- Aalborg University
Valvular Heart Disease
Evaluation of an Automated Smartphone-based Digital Auscultation Application for Detecting Abnormal Heart Sounds Using Deep Learning Techniques
This pilot study is to investigate the feasibility of obtaining medical grade audio phonocardiogram (PCG) recordings using a smartphone-based auscultation device in the first step.
- Trial name
- AVDA (NCT05325723)
- Where
- Switzerland
- Volunteers
- 102 people, healthy volunteers welcome
- Sponsor
- University Hospital, Basel, Switzerland
Healthy Volunteers
Understanding the Effects of Transauricular Vagus Nerve Stimulation on Neural Networks and Autonomic Nervous System
This trial aims to perform an exploratory, mechanistic, randomized double-blind sham-control trial in healthy participants to assess the physiologic effects of a single 60 minutes session of bilateral taVNS, on neural networks…
- Trial name
- NCT05801809
- Testing
- Transauricular vagus nerve stimulation (taVNS)
- Where
- United States
- Volunteers
- 44 people, healthy volunteers welcome
- Sponsor
- Spaulding Rehabilitation Hospital
Acute-on-chronic Hepatitis B Liver Failure
Study of the Model to Predict 3-month Mortality Risk of Acute-on-chronic Hepatitis B Liver Failure
This study was to predict 3-month mortality risk of acute-on-chronic hepatitis B liver failure (ACHBLF) on an individual patient level using artificial neural network (ANN) system.
- Trial name
- NCT01826760
- Testing
- Using training and testing groups to construct ANN based on laboratory tests
- Where
- China
- Volunteers
- 583 people, healthy volunteers welcome
- Sponsor
- Wenzhou Medical University
Pain
The Evaluation With Artificial Neural Network of Pain Scales in Children (ANN)
The study evaluates with Artificial Neural Network (ANN) of pain scales in children. Pain of these patients' will be evaluated by many pain scales in the postoperative period.
- Trial name
- ANN (NCT02682875)
- Where
- Turkey (Türkiye)
- Volunteers
- 140 people, healthy volunteers welcome
- Sponsor
- Cukurova University
Schizophrenia, Schizoaffective Disorder
Database Registry for Neural Network Biomarkers in Psychosis
Several observations have been made with magnetic resonance imaging (MRI) that characterize brain connections and brain function in individuals with schizophrenia and other mental disorders.
- Trial name
- Imaging (NCT01409109)
- Where
- United States
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- University of Texas Southwestern Medical Center
Traumatic Brain Injury
Neural Basis of Decision-Making Deficits in Traumatic Brain Injury
Background: People with a traumatic brain injury (TBI) can have trouble making the best possible decisions. Researchers want to learn more about the parts of the brain that control decision making.
- Trial name
- NCT02169310
- Testing
- tDCS, [11C] Raclopride
- Where
- United States
- Volunteers
- 45 people, healthy volunteers welcome
- Sponsor
- National Institute of Neurological Disorders and Stroke (NINDS)