Clinical trials: Neural Network
Muscle Disorder
A New Method of Muscle Strength Testing Using a Quantitative Ultrasonic Technique and a Convolutional Neural Network
In addition to muscle thickness and average echo intensity, this study aimed to use quantitative ultrasonic technology to increase the number of related parameters of power Doppler ultrasonography measured to describe the number…
- Trial name
- NCT04043832
- Testing
- quantitative ultrasonic technique
- Where
- China
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Peking University Third Hospital
Cleft Lip and/or Palate, Speech Disorder
Neural Changes After Speech Therapy in Patients With Cleft Palate: A Brain Imaging Study
Cleft palate is one of the most common maxillofacial congenital malformations, which results in severe speech disorders. Compensatory articulation disorder, also known as non-oral articulation disorder (NOA), is considered as the…
- Conditions
- Cleft Lip and/or Palate, Speech Disorder, Speech Therapy, Brain
- Trial name
- fMRI-Speech-CP (NCT07330687)
- Testing
- Structured Speech Training for Decompensation
- Where
- China
- Volunteers
- 164 people, healthy volunteers welcome
- Sponsor
- Shufan Zhao
Hip Osteoarthritis, Indication for Total Hip Replacement
Evaluation of Locomotor Activity Before and After Total Hip Replacement in Patients With Hip Osteoarthritis.
The investigators believe that the application of non-linear methods of analysis using the ganglion and neural network technique will make it possible to analyse all of the complex data obtained in patients with hip…
- Trial name
- NCT02042586
- Testing
- Analysis of movement before total hip replacement, Analysis of movement after total hip replacement
- Where
- France
- Volunteers
- 202 people, healthy volunteers welcome
- Sponsor
- Centre Hospitalier Universitaire Dijon
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
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
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
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
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
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
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
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
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
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