Clinical trials: Neural Network
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
Stroke
fMRI Study of Brain Neural Network and Plasticity After Stroke
The purposes of this study are to investigate the functional connectivity of motor network in patients of stroke and investigate the mechanism of brain plasticity for recovery after stroke.
- Trial name
- NCT00530647
- Where
- South Korea
- Sponsor
- Samsung Medical Center
COVID-19
Classification of COVID-19 Infection in Posteroanterior Chest X-rays
The objective of this study is to assess three configurations of two convolutional deep neural network architectures for the classification of COVID-19 PCX images.
- Trial name
- NCT04358536
- Testing
- CovX
- Where
- United States
- Volunteers
- 230 people, healthy volunteers welcome
- Sponsor
- Dascena
Artificial Intelligence, Colorectal Polyp
Diagnostic Performance of a Convolutional Neural Network for Diminutive Colorectal Polyp Recognition
Rationale: Diminutive colorectal polyps (1-5mm in size) have a high prevalence and very low risk of harbouring cancer. Current practice is to send all these polyps for histopathological assessment by the pathologist.
- Trial name
- POLAR (NCT03822390)
- Testing
- CAD-CNN system
- Where
- Netherlands
- Volunteers
- 292 people
- Sponsor
- Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
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
Hemiparesis, Stroke Sequelae
Neural Mechanisms of Motor Recovery With Technology Assisted Training
Stroke is a leading cause of disability that often impairs arm function and activities of daily living. The costs of rehabilitation are significant and practical constraints often limit therapy to the first few months after…
- Trial name
- NCT05560867
- Testing
- robot-assisted training
- Where
- United States
- Volunteers
- 4 people
- Sponsor
- University of Maryland, Baltimore
Angle Closure Glaucoma
Diagnostic Performance of Deep Learning for Angle Closure
Primary angle closure diseases (PACD) are commonly seen in Asia. In clinical practice, gonioscopy is the gold standard for angle width classification in PACD patietns.
- Trial name
- NCT04242108
- Testing
- Deep learning algorithm based on AS-OCT scans
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Non-Alcoholic Fatty Liver Disease, Non-Alcoholic Steatohepatitis
Clinical Performance of LIVERFASt Test Compared w/ Liver Biopsy in Patients w/ NAFLD.
The primary objective of this study is to assess the clinical performance of LIVERFAStTM In Vitro Diagnostic (IVD) Tests (Fibrosis score, Activity score and Steatosis score) in NAFLD suspected patients for staging of fibrosis and…
- Conditions
- Non-Alcoholic Fatty Liver Disease, Non-Alcoholic Steatohepatitis, Liver Fibroses, Liver Inflammation
- Trial name
- NCT04579874
- Testing
- LIVERFASt
- Where
- 8 sites in United States
- Volunteers
- 241 people
- Sponsor
- Fibronostics USA, Inc
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
Heart Valve Diseases, Surgery--Complications
Machine Learning-Based Risk Profile Classification of Patients Undergoing Elective Heart Valve Surgery
Machine learning methods potentially provide a highly accurate and detailed assessment of expected individual patient risk before elective cardiac surgery.
- Trial name
- NCT03724123
- Volunteers
- 2,229 people
- Sponsor
- Kepler University Hospital
Deep Convolutional Neural Network, Small-incision Lenticule Extraction (SMILE) Surgery
Diagnostic Efficacy of CNN in Predicting Intraoperative Complications and Postoperative Outcomes in SMILE
To evaluate the diagnostic efficiency of the neural network in predicting complications of Small Incision Lenticule Extraction in a multi-center cross-sectional study.
- Conditions
- Deep Convolutional Neural Network, Small-incision Lenticule Extraction (SMILE) Surgery, Intraoperative Complications, Postoperative Outcomes
- Trial name
- NCT06204926
- Testing
- AI diagnostic algorithm
- Where
- China
- Volunteers
- 1,250 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
Bowel Preparation
Development and Validation of a Deep Learning Algorithm for Bowel Preparation Quality Scoring
The purpose of this study is to develop and validate the performance of an artificial intelligence(AI) assisted Boston Bowel preparation Scoring(BBPS) system for evaluation of bowel cleanness, then testify whether this new…
- Trial name
- NCT03908645
- Testing
- Artificial intelligence assisted bowel preparation quality scoring system, Conventional human scoring
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Shandong University
Cigarette Smoking
Investigation of Nicotine Seeking Behavior in Current Smokers
In this study, 21 non-treatment-seeking cigarette smokers were recruited to investigate the effects of acute stress on brain function and nicotine seeking/self-administration behavior.
- Trial name
- NSS (NCT03670212)
- Testing
- Yohimbine Hydrochloride, Hydrocortisone, Lactose Monohydrate Powder
- Where
- United States
- Volunteers
- 21 people
- Sponsor
- Wayne State University
Healthy Volunteer
Neuroeconomic Approach of Food Nutritionnal Assesment
This fMRI study evaluated the cognitive mechanisms and the cerebral substrate of decision making when evaluating the healthiness of food products with nutritional information displayed either with a Traffic Light system, a…
- Trial name
- NeuroFood (NCT02841410)
- Testing
- Magnetic Resonance Imaging
- Volunteers
- 35 people, healthy volunteers welcome
- Sponsor
- University Hospital, Grenoble
Feeding and Eating Disorders
A New Neuroregulatory Technology for the Therapy of AN Based on the Pathological Neural Network of ACC
Hypothesis of "AN-ACC pathological network" suggests that ACC overactivation and abnormal functional connectivity with other brain regions is the neuropathological mechanism for the onset of AN.
- Trial name
- NCT06152640
- Testing
- Deep transcranial magnetic stimulation, Basic treatment
- Where
- China
- Volunteers
- 80 people
- Sponsor
- Shanghai Mental Health Center
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
Mechanical Ventilation Complication
Automated Detection of Patient Ventilator Asynchrony Using Pes Signal
Rationale: Patient-ventilator asynchrony (PVA) in mechanical ventilation is associated with adverse patient outcome such as a prolonged stay in the ICU and even mortality.
- Trial name
- NCT06186557
- Testing
- No intervention
- Where
- Netherlands
- Volunteers
- 50 people
- Sponsor
- Leiden University Medical Center
Blinking, Deep Learning
Development and Validation of Deep Neural Networks for Blinking Identification and Classification
Primary objective of this study is the development and validation of a system of deep neural networks which automatically detects and classifies blinks as "complete" or "incomplete" in image sequences.
- Trial name
- NCT04828187
- Testing
- Comparison of the proposed artificial network with the ground truth
- Where
- 2 sites in Greece
- Volunteers
- 8 people, healthy volunteers welcome
- Sponsor
- Democritus University of Thrace
Postoperative Delirium, Postoperative Neurocognitive Disorder
Risk Warning Model of Postoperative Delirium and Long-term Cognitive Dysfunction in Elderly Patients
The incidence of postoperative delirium in elderly patients is high, which can lead to long-term postoperative neurocognitive disorders. Its high risk factors are not yet clear.
- Conditions
- Postoperative Delirium, Postoperative Neurocognitive Disorder, Surgery
- Trial name
- NCT06423547
- Testing
- no intervention
- Where
- China
- Volunteers
- 10,000 people
- Sponsor
- Xuanwu Hospital, Beijing
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