Clinical trials: Artificial Neural Network
Diabetic Retinopathy, Glaucoma
AI for the Detection of Retinal Disease and Glaucoma in Patients With Diabetes Mellitus in Primary Care
Background: Diabetic retinopathy (DR) is one of the most important causes of blindness worldwide, especially in developed countries.
- Conditions
- Diabetic Retinopathy, Glaucoma, Age-Related Macular Degeneration, Choroidal Nevus
- Trial name
- NCT04132401
- Testing
- algorithm
- Where
- Spain
- Volunteers
- 902 people
- Sponsor
- Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
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
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
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
Basal Cell Carcinoma
AI-Based Risk Classification and Histopathological Subtype Prediction of Basal Cell Carcinoma Using Dermoscopic Images
This retrospective observational study aims to develop and evaluate a convolutional neural network (CNN)-based artificial intelligence model for risk classification and histopathological subtype prediction of basal cell carcinoma…
- Trial name
- BCC-AI (NCT07677124)
- Where
- Turkey (Türkiye)
- Volunteers
- 2,500 people
- Sponsor
- Istanbul Training and Research Hospital
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
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
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
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
Gross Motor Development Delay
Video-based Assessment of Preschool Children's Gross Motor Development
Artificial intelligence (AI) is currently one of the global focal points for industrial development, with its applications in healthcare steadily increasing, such as in disease prediction, image diagnosis, and drug development.
- Trial name
- NCT07054437
- Testing
- Gross Motor Development Screening Tool
- Where
- Taiwan
- Volunteers
- 250 people
- Sponsor
- Chang Gung Memorial Hospital
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
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
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