Clinical trials: Neural Network
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
Solitary Skin Lesions, Skin Neoplasms
CNN-Based AI Versus Physicians for Solitary Skin Lesion Diagnosis
The goal of this observational study is to evaluate the diagnostic accuracy of a CNN-based artificial intelligence model in patients with solitary skin lesions.
- Conditions
- Solitary Skin Lesions, Skin Neoplasms, Skin Neoplasm Malignant
- Trial name
- NCT07415291
- Where
- Turkey (Türkiye)
- Volunteers
- 17,625 people
- Sponsor
- Istanbul Training and Research Hospital
Stroke
Effect of Donepezil on the Reorganization of Cognitive Neural Network in Patients With Post-Stroke Cognitive Impairment
The purpose of this study is to demonstrate the efficacy and safety of donepezil on the recovery of cognitive function in patients with stroke and to delineate the neurophysiologic mechanisms of the therapeutic effect of…
- Trial name
- NCT00530478
- Testing
- Donepezil
- Where
- South Korea
- Sponsor
- Samsung Medical Center
Cleft Palate, Orofacial Cleft
Neural Network to Calculate Morphology of the Cleft Palate to Reduce Cleft Lip and Palate Treatment Burden.
This study is to develop a neural network to compute palatal three dimensional (3D) geometry by using routinely taken intraoral/palatal photographs and palatal casts of infants with cleft lip and palate deformity for reducing…
- Trial name
- NCT04342234
- Testing
- data collection of palatal casts and palatal images of cleft patients routinely treated at the institution
- Where
- Switzerland
- Volunteers
- 450 people
- Sponsor
- University Hospital, Basel, Switzerland
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
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
Early-onset Schizophrenia
ToM Psychotherapy and Brain Networks in EOS
Background: Presence of a series of typical physical symptoms is an enduring and functionally relevant feature of early-onset schizophrenia (EOS).
- Trial name
- NCT05577338
- Testing
- Theory of Mind psychotherapy, health education
- Where
- China
- Volunteers
- 30 people
- Sponsor
- The First Affiliated Hospital of Anhui Medical University
Pain
The Evaluation With Artificial Neural Network of Pain Scales in Children (ANN)
The study evaluates with Artificial Neural Network (ANN) of pain scales in children. Pain of these patients' will be evaluated by many pain scales in the postoperative period.
- Trial name
- ANN (NCT02682875)
- Where
- Turkey (Türkiye)
- Volunteers
- 140 people, healthy volunteers welcome
- Sponsor
- Cukurova University
X-linked Mental Retardation
Clinical Phenotyping and Characterization of Neural Networks and Cognitive Processes Involved in Mental Retardation X-linked
X-linked Mental retardation (XLMR) represent 10% of the causes of mental retardation with a prevalence in both sexes around 1/296, i.e. 3.3 / 1000 births (Opitz et al., 1986).
- Trial name
- XLMR (NCT02854956)
- Testing
- Neuropsychological, cognitive and behavioral assessment
- Where
- France
- Volunteers
- 573 people, healthy volunteers welcome
- Sponsor
- Hospices Civils de Lyon
Androgenetic Alopecia
Harnessing Artificial Intelligence for Diagnosing Androgenetic Alopecia: A Training and Validation Study
The aim of this study is to develop and validate deep learning models in diagnosis of male and female pattern hair loss, and assessment of its severity based on clinical and trichoscopic image by handheld dermoscopy and…
- Trial name
- NCT07294313
- Where
- Egypt
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Cairo University
Acute Exacerbation of Chronic Obstructive Pulmonary Disease
The Severity Assessment Model for AECOPD With Combination of Disease and Syndrome
The establishment of the AECOPD severity assessment model can quickly and accurately evaluate the condition, which is of great significance for standardizing diagnosis and treatment, improving efficacy, and improving prognosis.
- Trial name
- NCT06918353
- Testing
- Diagnosis and Severity Grading of AECOPD Disease
- Where
- China
- Volunteers
- 1,500 people
- Sponsor
- Henan University of Traditional Chinese Medicine
Age Problem
Assessing the Precision of Convolutional Neural Networks for Dental Age Estimation From Panoramic Radiographs
The aim of this study is to assess the accuracy of a convolutional neural network in dental age estimation from digital panoramic radiographs. The reference standard will be the chronological age of the patient.
- Trial name
- NCT05901857
- Testing
- convolutional neural network
- Where
- Egypt
- Volunteers
- 22 people
- Sponsor
- Cairo University
Perinatal Hypoxia, Dopamine
Measuring Brain Activity of School Age Children
This observational study will investigate whether differences in birth events and oxygen levels during the newborn period affects the brain activity of children during the middle childhood years.
- Conditions
- Perinatal Hypoxia, Dopamine, Neurobehavioral Manifestations
- Trial name
- NCT03407729
- Testing
- Magnetic Resonance Imaging, Cognitive Performance Testing
- Where
- United States
- Volunteers
- 21 people, healthy volunteers welcome
- Sponsor
- Case Western Reserve University
Kidney Cancer
Renal Cancer Detection Using Convolutional Neural Networks
We aim to experiment and implement various deep learning architectures in order to achieve human-level accuracy in Computer-aided diagnosis (CAD) systems.
- Trial name
- RCCCNN (NCT03857373)
- Where
- Denmark
- Volunteers
- 5,000 people
- Sponsor
- Nessn Azawi
Skin Diseases
Deep Neural Networks on the Accuracy of Skin Disease Diagnosis in Non-Dermatologists
Background: Deep neural networks (DNN) has been applied to many kinds of skin diseases in experimental settings. Objective: The objective of this study is to confirm the augmentation of deep neural networks for the diagnosis of…
- Trial name
- NCT04636164
- Testing
- Model Dermatology (deep neural networks; Build 2020)
- Where
- South Korea
- Volunteers
- 55 people
- Sponsor
- Pyoeng Gyun Choe
Scapholunate Interosseous Ligament, Torn Wrist Ligaments
Biomechanical Evaluation of Wrist Ligament Injuries: Diagnostic Tool to Detect Wrist Instability
Damage to the ligaments of the wrist occurs frequently, however, it is not well publicized or understood. Our previous and current biomechanical studies have shown that damage to certain wrist ligaments is the likely cause of…
- Trial name
- NCT00657072
- Where
- United States
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- State University of New York - Upstate Medical University
Brain Function, Cerebral Palsy
7T Anatomo-functional Characterization of Structures in the Action Observation Network
The goal of this study is to explore the anatomical-functional characteristics of the AON circuit (with particular interest for subcortical areas and the cerebellum), and the cortico-subcortical connectivity of the nodes of the…
- Trial name
- 7T-ATHENA (NCT06826287)
- Testing
- 7T MR exam, clinical assessment
- Where
- 2 sites in Italy
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- IRCCS Fondazione Stella Maris
Hypertension
Reduce Medication Errors by Translating AESOP Model Into CPOE Systems
Medication errors are common, life-threatening, costly but preventable. Information technology and automated systems are highly efficient for preventing medication errors and therefore widely employed in hospital settings.
- Trial name
- AESOP (NCT03484793)
- Testing
- AESOP service system
- Where
- Taiwan
- Volunteers
- 37 people
- Sponsor
- Taipei Medical University
Depression
The Quantitative Study of the Habenula Based on Multi-channel Cascaded Neural Network and the Establishment of the Prediction Model of the Curative Effect in Patients With Depression
Depression is the second leading cause of disease burden in our country. It has serious effects on the physical and mental health of human beings, and about 30% of patients with depression are unresponsive or respond poorly to…
- Trial name
- NCT05872607
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- The First Hospital of Jilin University