Clinical trials: Neural Network
Hip Prosthesis Infection
Early Discrimination of Periprosthetic Hip Infections Using Neural Networks (SEPTIC-ANNR)
The study is about the role of cellular neural networks-genetic algorithm in the diagnosis of periprosthetic hip infections. A retrospective case series of septic and aseptic loosening of primary hip arthroplasties is selected.
- Trial name
- SEPTIC-ANNR (NCT04119804)
- Testing
- cellular neural networks-genetic algorithm
- Where
- Italy
- Volunteers
- 36 people
- Sponsor
- Istituto Ortopedico Rizzoli
Covid19
Application of Machine Learning Based Approaches in Emergency Department to Support Clinical Decision Managing SARS-CoV-2 Infected Patients
The aim of the study is to develop a prognostic prediction model based on machine learning algorithms in patients affected by coronavirus disease 2019 (COVID-19), the prediction model will be capable to recognize patient with…
- Trial name
- NCT04825301
- Where
- Italy
- Volunteers
- 779 people
- Sponsor
- University of L'Aquila
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
Hemiparesis
ESTIMATION OF BALANCE STATUS IN HEMIPARETICS
Although Balance Evaluation Systems Test(BESTest) is an important balance assessment tool to differentiate balance deficits, it is time consuming and tiring for hemiparetic patients.
- Trial name
- NCT04423497
- Testing
- Balance Evaluation Systems Test
- Volunteers
- 66 people
- Sponsor
- Pamukkale University
Chronic Pain, Ptsd
Improving Dysregulated Neural Networks With EEG-neurofeedback
Comorbid PTSD in the context of chronic pain rehabilitation is a major problem. The lack of effective and efficient methods that can be integrated into current practice is needed.
- Trial name
- NCT06587919
- Testing
- Neurofeedback
- Where
- Denmark
- Volunteers
- 63 people
- Sponsor
- University of Southern Denmark
Difficult Biliary Cannulation
A Convolutional Neural Network for Difficult Biliary Cannulation
The main purpose of the study is to train a convolutional neural network (CNN) to predict difficult biliary canulation (DBC) following the European Society of Gastrointestinal Endoscopy Society (ESGE).
- Trial name
- PRECABIDO2 (NCT07389915)
- Testing
- Endoscopic retrograde cholangiopancreatography (ERCP)
- Volunteers
- 600 people
- Sponsor
- University of La Laguna
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
Ultrasound Therapy; Complications
Identification of Interscalene Brachial Plexus on Ultrasonography Using a Deep Neural Network
The purpose of the study is to develop and validate an algorithm based on deep neural networks (DNNs) to identify interscalene brachial plexus on ultrasonography automatically.
- Trial name
- IBRUNNET (NCT04183972)
- Testing
- ultrasound examination
- Where
- China
- Volunteers
- 1,126 people
- Sponsor
- Huashan Hospital
Stroke Sequelae, Deglutition Disorders
Effects of Different-Frequency Electroacupuncture on Suprahyoid Muscles in Post-Stroke Dysphagia: Efficacy and Neural Networks
This randomized controlled study in patients with post-stroke dysphagia aims to determine the optimal stimulation frequency of electroacupuncture of the suprahyoid muscles and to elucidate the underlying neural mechanisms.
- Conditions
- Stroke Sequelae, Deglutition Disorders, Acupuncture Therapy, Electroacupuncture
- Trial name
- NCT07496762
- Testing
- Low Frequency EA, Medium Frequency EA, High Frequency EA
- Where
- China
- Volunteers
- 102 people
- Sponsor
- Kaili Chen
Obsessive-Compulsive Disorder
Neural Mechanisms of Obsessive-compulsive Disorder (OCD) Treatment Failure
The aim of this study is to understand why patients with obsessive-compulsive disorder (OCD) fail in therapy. To understand the neural mechanisms involved in exposure therapy that support success and clinical improvement in order…
- Trial name
- ERP in Silico (NCT05520398)
- Where
- United Kingdom
- Volunteers
- 90 people
- Sponsor
- University College, London
MDR Tuberculosis, Resistance to Tuberculostatic Drugs
Artificial Inteligent for Diagnosing Drug-Resistant Tuberculosis
Title: Artificial Neural Network as Diagnostic Tools For Rifampicin-Resistant Tuberculosis In Indonesia. A Predictive Model Study and Economic Evaluation.
- Trial name
- NCT04208789
- Testing
- Rapid Molecular Drug-Resistant Tuberculosis Test, Artificial Intelligent Model, Drug Susceptibility Test
- Where
- 5 sites in Indonesia
- Volunteers
- 524 people
- Sponsor
- Hasanuddin University
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.
Covid19, Spatial Visualization
Mapping COVID-19 Spread in a Tertiary Hospital
One of the major problems in suppressing the spreading of an epidemic resides in understanding and monitoring its propagation patterns, and in evaluating how these are modified by enforced policies.
- Conditions
- Covid19, Spatial Visualization, Neural Network, Respiratory Disease
- Trial name
- MEDyMAP (NCT04581096)
- Testing
- no intervention
- Where
- 2 sites in Spain
- Volunteers
- 2,646 people
- Sponsor
- Hospital General Universitario de Valencia
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
Alcoholism, fMRI
Neural Substrates of Approach-Avoidance Conflict
Background: People who are dependent on alcohol drink even when they know something bad might happen. Researchers want to learn more about why they do this.
- Conditions
- Alcoholism, fMRI, Rewarding Mediating System
- Trial name
- NCT02119624
- Where
- United States
- Volunteers
- 62 people
- Sponsor
- National Institute on Alcohol Abuse and Alcoholism (NIAAA)
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