Clinical trials: Neural Network
Obstructive Sleep Apnea
CPAP Titration Using an Artificial Neural Network: A Randomized Controlled Study
The purpose of the study is to determine the validity of the prediction model in reducing the rate of CPAP titration failure and in achieving a shorter time to optimal pressure
- Trial name
- NCT00497640
- Testing
- Artificial Neural Network
- Where
- United States
- Sponsor
- State University of New York at Buffalo
Epilepsy, Intermittent Fasting
IF-MCT 16:8: Investigating the Influence of Intermittent Fasting With and Without MCTs in Patients With Drug-resistant Epilepsy
The objective of the prospective monocentric pilot trial is to investigate the influence of intermittent fasting with or without a once-daily intake with medium chain triglycerides (MCTs) on the frequency of seizures in patients…
- Trial name
- IF-MCT16:8 (NCT06013761)
- Testing
- IF 16:8 as active comparator vs. IF MCT 16:8 as experimental arm
- Where
- Germany
- Volunteers
- 22 people
- Sponsor
- University Hospital Marburg
COVID-19 Disease
A Retrospective Study of Neural Network Model to Dynamically Quantificate the Severity in COVID-19 Disease
The research aim to collect large samples of COVID-19 disease patients with clinical symptoms, laboratory and imaging examination data. Screening the biological indicators which are related to the occurrence of severe diseases.
- Trial name
- NCT04347369
- Testing
- other
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Xinqiao Hospital of Chongqing
Stability of Attentional Networks Over Multiple Sessions of Computerized Task
Assessment of Stability of Behavioral and Neural Measures of Attention Networks Across Multiple Sessions
The purpose of this research study is to learn more about the stability over multiple recording sessions of brainwave activity during a computerized task that measures different types of attention.
- Trial name
- NCT04033731
- Testing
- Attention Network Task
- Where
- United States
- Volunteers
- 16 people, healthy volunteers welcome
- Sponsor
- University of Florida
Ulcerative Colitis
Development and Validation of a Deep Learning Algorithm to Evaluate Endoscopic Disease Activity of Ulcerative Colitis.
The purpose of this study is to develop an artificial intelligence(AI) assisted scoring system, which can evaluate the disease severity and mucosal healing stage in patients with ulcerative colitis.
- Trial name
- NCT03973437
- Testing
- Artificial inteligence associated ulcerative colitis severity scoring system, Conventional human scoring
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Shandong University
Prostate Cancer With PSA Gray Zone
Intelligent Screening and Precision Diagnosis of Prostate Cancer Based on Multimodal Data
This project aims to develop a precision screening and diagnostic solution for prostate cancer based on multimodal artificial intelligence, focusing on addressing the diagnostic challenge in patients within the PSA "gray zone" of…
- Trial name
- NCT07631806
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Guangxi Medical University
AKI
Deep Learning Model and Risk Factors for Tacrolimus-related Acute Kidney Injury
In this study, the investigators aim to develop a risk prediction model for acute kidney injury (AKI) in hospitalized patients using the calcineurin inhibitor tacrolimus.
- Trial name
- NCT06596798
- Where
- China
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Qianfoshan Hospital
Hearing Disorder
Brain Imaging of Tinnitus
This study will use magnetic resonance imaging (MRI) to compare brain function in three groups of people: hearing-impaired people with tinnitus; hearing-impaired people without tinnitus; and people with normal hearing and without…
- Trial name
- NCT00359931
- Where
- United States
- Volunteers
- 58 people
- Sponsor
- National Institute on Deafness and Other Communication Disorders (NIDCD)
Myeloma
Machine Learning in Myeloma Response
Diffusion-weighted Whole Body Magnetic Resonance Imaging (WB-MRI) is a new technique that builds on existing Magnetic Resonance Imaging (MRI) technology.
- Trial name
- MALIMAR (NCT03574454)
- Testing
- Machine Learning (ML)
- Where
- 3 sites in United Kingdom
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Royal Marsden NHS Foundation Trust
Coronary Artery Disease, Plaque, Atherosclerotic
Identifying Vulnerable CoronAry PLaqUes With Artificial IntElligence-assisted CT Angiography
The goal of this observational study is to develop an automatic whole-process AI model to detect, quantify, and characterize plaques using coronary CT angiography in coronary artery disease patients.
- Trial name
- VALUE (NCT06025305)
- Testing
- Intravascular imaging test, Coronary plaque assessment
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Jinling Hospital, China
Focal Epilepsy, Temporal Lobe Epilepsy
Spatial Scene Recognition Memory in Epilepsy Surgery
This study investigates the anatomical and physiological basis of spatial scene recognition memory in patients with temporal lobe epilepsy and temporal lobe lesions.
- Conditions
- Focal Epilepsy, Temporal Lobe Epilepsy, Medically Refractory Epilepsy, Memory Disorders
- Trial name
- NCT07580183
- Testing
- Virtual Tour Recognition Memory Task, Intracranial EEG Recording with Research Electrodes (Aim III only), MRI Neuroimaging and Neuropsychological Assessment (Aim I)
- Where
- 2 sites in United States
- Volunteers
- 620 people, healthy volunteers welcome
- Sponsor
- University of California, Davis
Thoracic Diseases, Lung Diseases
AI-Based Assessment of Chest Diseases on Chest X-ray Imaging Using DenseNet-121 and a CheXpert-Trained Model
Chest X-rays are widely used to detect thoracic and lung conditions, but reviewing high volumes of radiographs can lead to workload strain and variation between interpreters.
- Trial name
- NCT07834879
- Volunteers
- 100 people
- Sponsor
- Assiut University
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
Glaucoma, Tomography, Optical Coherence
The Diagnostic Performance of BMO-MRW and RNFL Thickness and Their Combinational Index Using Artificial Neural Network
This study evaluates the relationship between BMO-MRW and RNFL thickness measured by OCT. SD-OCT exam will be performed to all patients in this study.
- Trial name
- NCT03257020
- Testing
- SD-OCT
- Where
- South Korea
- Volunteers
- 402 people
- Sponsor
- Pusan National University 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
Chronic Musculoskeletal Disease
Acceptance and Commitment Therapy, a Mindfulness-Based Approach for Treatment of Chronic Musculoskeletal Pain
Acceptance and Commitment Therapy (ACT) has been recognized as an effective, non-pharmacologic treatment for a variety of CP conditions. However, little is known about the neurologic mechanisms underlying ACT.
- Trial name
- NCT04502992
- Testing
- Acceptance and Committment Therapy
- Where
- United States
- Volunteers
- 9 people
- Sponsor
- University of New Hampshire
Brain (Nervous System) Cancers, Glioma
Connectome-guided Onco-functional Resection With Tractography-Extended Neuronavigation in Brain Tumor Surgery
Brain tumor surgery in so-called "eloquent" brain areas aims to remove as much tumor as possible while preserving neurological functions.
- Conditions
- Brain (Nervous System) Cancers, Glioma, Brain Metastasases, Brain Connectivity
- Trial name
- CORTEx (NCT07717827)
- Testing
- Connectome-guided network-based neuronavigation, Advanced diffusion MRI tractography and connectome pipeline
- Where
- Italy
- Volunteers
- 400 people
- Sponsor
- ARNAS Civico Di Cristina Benfratelli Hospital
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
Knee Osteoarthritis, Total Knee Arthroplasty
Prediction of Postoperative Outcomes After TKA Using Instrumented Insoles and DNN
This multicenter prospective observational study aims to evaluate whether preoperative clinical variables and wearable sensor-derived gait features can predict postoperative improvement after total knee arthroplasty (TKA).
- Trial name
- NCT07367789
- Testing
- Instrumented Insole Gait Assessment
- Where
- South Korea
- Volunteers
- 200 people
- Sponsor
- Yonsei University
Renal Cyst
Multiphase CT Deep Learning for Bosniak II-III Renal Cysts
This retrospective study combine radiomics and deep learning models to predict malignancy in Bosniak II-III cystic renal masses, aiming for improving preoperative risk assessment and reducing unnecessary surgery for benign…
- Trial name
- NCT07833124
- Where
- China
- Volunteers
- 223 people
- Sponsor
- Shanghai Zhongshan Hospital