Clinical trials: Neural Network
Congenital Microtia
Deep Learning for Flap Perfusion Detection
The aim of this study is to develop a convolutional neural network-based image recognition model to identify flap perfusion abnormalities after first-stage auricular reconstruction in patients with congenital microtia.
- Trial name
- DL-FPA (NCT07846332)
- Testing
- AI-assisted remote monitoring of flap perfusion abnormalities after first-stage auricular reconstruction
- Where
- China
- Volunteers
- 232 people
- Sponsor
- Jing Xu
Sleep Apnea
Artificial Neural Network Directed Therapy of Severe Obstructive Sleep Apnea
The investigators have developed a simple, accurate, and a point-of-care, computer-based clinical decision support system (CDSS) not only to detect the presence of sleep apnea but also to predict its severity.
- Trial name
- NCT01286636
- Testing
- computer model, Polysomnogram
- Where
- United States
- Sponsor
- State University of New York at Buffalo
Atrial Fibrillation, Insulin Resistance
Insulin Resistance as a Predictor of Pulsed Field Ablation Success in Atrial Fibrillation (HOMA-PULSE)
This study investigates whether insulin resistance, a metabolic condition where the body's cells respond poorly to insulin, can predict the success of atrial fibrillation (AF) ablation using pulsed field ablation (PFA)…
- Conditions
- Atrial Fibrillation, Insulin Resistance, Catheter Ablation, Artificial Intelligence
- Trial name
- HOMA-PULSE (NCT07551947)
- Where
- Czechia
- Volunteers
- 120 people
- Sponsor
- Nemocnice AGEL Trinec-Podlesi a.s.
Encephalopathy, White Matter Hyperintensities
Effect of HBO on Functional Connectivity of Resting State Networks in Patients With Cerebral Small Vessel Disease
The purpose of this study is to extend our previous work, in which we demonstrated an increase in the internal and cross network connectivity of resting state neural networks in patients with cerebral small vessel disease by…
- Conditions
- Encephalopathy, White Matter Hyperintensities, Impaired Oxygen Delivery
- Trial name
- HBO (NCT02232958)
- Testing
- Hyperbaric Oxygen Treatment
- Where
- 3 sites in United States
- Volunteers
- 20 people
- Sponsor
- St. Luke's Hospital, Chesterfield, Missouri
Bladder Cancer
Bladder Cancer Detection Using Convolutional Neural Networks
The investigators aim to experiment and implement various deep learning architectures to achieve human-level accuracy in Computer-aided diagnosis (CAD) systems.
- Trial name
- BLAInostic (NCT05193656)
- Testing
- Al_bladder
- Where
- Denmark
- Volunteers
- 5,000 people
- Sponsor
- Zealand University Hospital
Sleep Disordered Breathing (SDB), Sleep Apnea
Detection of Sleep Stages and Arousals Using Neural Network Classifiers
The objective of this clinical study is to evaluate the accuracy of the Smart Mask V1 System (herein 'Smart Mask') in measuring sleep stages-Stage N1/N2, Stage N3, Rapid Eye Movement (herein 'REM'), and WAKE-arousals, and the…
- Trial name
- SSAM (NCT07136272)
- Testing
- SSAM, Polysomnography, EnsoSleep
- Where
- 3 sites in United States
- Volunteers
- 72 people, healthy volunteers welcome
- Sponsor
- Pathway Medtech, LLC.
Angiography, Glaucoma, Open-Angle
The Relationship Between Macular OCTA and GCIPL and Their Combinational Index Using AI
Macular GCIPLT and vessel density will be measured with Spectralis optical coherence tomography and Topcon swept-source OCT respectively.
- Trial name
- NCT03369886
- Testing
- Optical Coherence Tomography Angiography (OCTA)
- Where
- South Korea
- Volunteers
- 206 people, healthy volunteers welcome
- Sponsor
- Pusan National University Hospital
Normal Pressure Hydrocephalus
The Brain Structure and Neural Network Changing the Before and After Ventriculo-peritoneal Shunting in the Normal Pressure Hydrocephalus Patients
With the advent of the aging society, dementia becomes the focus of common people. As for the neurodegeneration dementia, no disease modifying treatments have been discovered.
- Trial name
- NCT03092804
- Testing
- ventriculo-peritoneal shunting
- Where
- China
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Peking Union Medical College Hospital
Developmental Language Disorders, Developmental Articulation Disorder
Smart Computing Models, Sensors, and Early Diagnostic Speech and Language Deficiencies Indicators in Child Communication
This clinical trial aims to justify a protocol for designing and developing an automated decision-making system to support and enhance screening and early detection procedures for developmental speech/language difficulties in…
- Conditions
- Developmental Language Disorders, Developmental Articulation Disorder, Speech Disorder, Neurodevelopmental Disorder (Diagnosis)
- Trial name
- SmartSpeech (NCT06633874)
- Testing
- TD Playing the Serious Game APSOU, Non-TD Playing Serious Game
- Where
- Greece
- Volunteers
- 520 people, healthy volunteers welcome
- Sponsor
- University of Ioannina
Gastroesophageal Hernia
Hill-grade Knowledge Via Integrated Neural-network for Gastroscopy
The Hill classification, also known as the Hill grade, is a system used to classify the severity of gastroesophageal valve incompetence, specifically related to gastroesophageal reflux disease (GERD) and hiatal hernia.
- Trial name
- HillKING (NCT06040723)
- Testing
- EndoMind
- Where
- Germany
- Volunteers
- 195 people, healthy volunteers welcome
- Sponsor
- Wuerzburg University Hospital
Skull Defect
Development of Three-dimensional Deep Learning for Automatic Design of Skull Implants
This project aims to develop an effective deep learning system to generate numerical implant geometry based on 3D defective skull models from CT scans.
- Trial name
- NCT05603949
- Testing
- 3D deep learning neural network system
- Where
- Taiwan
- Volunteers
- 6 people
- Sponsor
- Chang Gung Memorial Hospital
AKI, Therapeutic Drug Monitoring (TDM)
Research on the Risk Warning Model and Prevention Strategies for Acute Kidney Injury Associated With Cyclosporine Based on Explainable Deep Neural Networks and Therapeutic Drug Monitoring
In this study, the investigators will focus on hospitalized patients using cyclosporine and develop an acute kidney injury risk prediction model through in-depth analysis of electronic medical record data, employing interpretable…
- Trial name
- NCT06596811
- Where
- China
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Qianfoshan Hospital
Biomechanical Assessment of the Foot During Gait
Biomechanical Analysis of Gait
This study measures the medial longitudinal arch angle and the metatarsophalangeal angle during the gait cycle in 35 healthy participants using speed cameras and reflective markers placed on anthropometric points.
- Trial name
- NCT07140159
- Where
- Mexico
- Volunteers
- 35 people, healthy volunteers welcome
- Sponsor
- Universidad Politécnica de Baja California
Pulmonary Hypertension (Diagnosis)
Applying Artificial Intelligence to the 12 Lead ECG for the Diagnosis of Pulmonary Hypertension: an Observational Study
The goal of this observational study is to apply Artificial Intelligence (AI) and machine learning technology to the resting 12-lead electrocardiogram (ECG) and assess whether it can assist doctors in the early diagnosis of…
- Trial name
- NCT05942859
- Testing
- Artificial Intelligence and Machine Learning technology
- Where
- United Kingdom
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Royal United Hospitals Bath NHS Foundation Trust
Femoroacetabular Impingement Syndrome
AI-Based Screening and Diagnostic Models for Femoroacetabular Impingement Syndrome (FAIS-AI)
Femoroacetabular impingement syndrome (FAIS) is the leading cause of hip pain in young adults and frequently progresses to osteoarthritis, often exacerbated by delayed diagnosis in primary care.
- Trial name
- FAIS-AI (NCT07737223)
- Where
- China
- Volunteers
- 2,617 people
- Sponsor
- ChunBao Li
Noise Correlations, Learning Quality
Investigating The Role of Noise Correlations in Learning
A fundamental problem in neuroscience is how the brain computes with noisy neurons. An advantage of population codes is that downstream neurons can pool across multiple neurons to reduce the impact of noise.
- Trial name
- NCT06673303
- Testing
- Dynamic perceptual discrimination task, fMRI
- Where
- United States
- Volunteers
- 47 people, healthy volunteers welcome
- Sponsor
- Brown University
Artificial Intelligence, Ultrasonography
Assessment of Liver Diseases Using a Deep-Learning Approach Based on Ultrasound RF-Data
The goal of this clinical trial is to test the performance of neuronal networks trained on ultrasonic raw Data (=radiofrequency data) for the assessment of liver diseases in patients undergoing a clinical ultrasound examination.
- Conditions
- Artificial Intelligence, Ultrasonography, Elasticity Imaging Techniques, Liver Diseases
- Trial name
- LivSPECTRUS (NCT06317181)
- Testing
- Collection of elastography data, Collection of ultrasonic raw data
- Where
- 4 sites in Germany
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Technische Universität Dresden
Ischemic Stroke
Research on AIS Recurrence Risk Prediction Model Using XGBoost Combined With Convolutional Neural Network Algorithm
The purpose of this observational study is to construct a recurrence risk prediction model for ischemic stroke within 1, 3, 6, and 12 months using XGBoost combined with Convolutional Neural Network (CNN) algorithm.
- Trial name
- NCT06796283
- Where
- China
- Volunteers
- 2,628 people
- Sponsor
- Second Affiliated Hospital of Nanchang University
Anesthesia, General, Postoperative Complications
Pre-operative Characteristics for Prediction of Supraglottic Airway Failure Using Machine Learning (ERICA)
Supraglottic airway devices (SGA) are a safe and well-established technique for airway management. Nowadays, up to 60% of general anaesthetics performed in European countries use SGA.
- Conditions
- Anesthesia, General, Postoperative Complications, Laryngeal Masks, Treatment Failure
- Trial name
- ERICA (NCT06617403)
- Testing
- non
- Where
- 2 sites in Germany
- Volunteers
- 44,000 people
- Sponsor
- University Hospital Ulm
Nasopharyngeal Carcinoma
Development of Intelligent Model for Radioactive Brain Damage of Nasopharyngeal Carcinoma Based on Radio-metabolomics
This project focuses on the early prediction and diagnosis of radiation-induced brain injury in nasopharyngeal carcinoma patients.
- Trial name
- NCT05547971
- Testing
- intensity-modulated radiation therapy
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Xiangya Hospital of Central South University