Clinical trials: Artificial Neural Network
Language Acquisition in the Brain
Language Acquisition in the Brain and Algorithms: Towards Systematic Monitoring of the Evolution of Semantic Representations in Biological and Artificial Neural Networks
Speech depends on our ability to recursively combine successive words into a complex sense. Although the order of these putative operations (syntax) has been the subject of extensive examination in the way in which the human…
- Trial name
- SYNTAXE (NCT05217043)
- Testing
- intracranial brain recording
- Where
- France
- Volunteers
- 100 people
- Sponsor
- Fondation Ophtalmologique Adolphe de Rothschild
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
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.
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
Residual Paralysis, Post Anesthesia, Postoperative Complications
Predicting Neuromuscular Recovery in Surgical Patients Using Machine Learning
Despite emerging efforts to decrease residual paralysis and postoperative complications with the use of quantitative neuromuscular monitoring and reversal agents their incidences remain high.
- Conditions
- Residual Paralysis, Post Anesthesia, Postoperative Complications, Neuromuscular Blockade, Quantitative Neuromuscular Monitoring
- Trial name
- PINES (NCT05471882)
- Where
- 2 sites in Germany
- Volunteers
- 240,000 people
- Sponsor
- University Hospital Ulm
Urothelial Carcinoma
ARON-2 Study-Multicentric International Retrospective Study
The ARON-2 study retrospectively analyze patients treated with pembrolizumab as first-line therapy in patients platinum-unfit or as second-line therapy in patients progressed after previous platinum-based chemotherapy.
- Trial name
- NCT05290038
- Where
- Italy
- Volunteers
- 367 people
- Sponsor
- Matteo Santoni
Postoperative Delirium, Postoperative Neurocognitive Disorder
Risk Warning Model of Postoperative Delirium and Long-term Cognitive Dysfunction in Elderly Patients
The incidence of postoperative delirium in elderly patients is high, which can lead to long-term postoperative neurocognitive disorders. Its high risk factors are not yet clear.
- Conditions
- Postoperative Delirium, Postoperative Neurocognitive Disorder, Surgery
- Trial name
- NCT06423547
- Testing
- no intervention
- Where
- China
- Volunteers
- 10,000 people
- Sponsor
- Xuanwu Hospital, Beijing
Osteoporosis, Osteoporotic Fractures
Osteoporotic Precisely Screening Using Chest Radiograph and Artificial Neural Network (OPSCAN)
Artificial Intelligence-assisted Diagnosis and Prognostication in Osteoporosis Using Chest X-ray
- Trial name
- NCT05721157
- Testing
- AI-enabled Chest X-ray-based Screening Tool
- Where
- Taiwan
- Volunteers
- 4,912 people
- Sponsor
- National Defense Medical Center, Taiwan
Valvular Heart Disease
Evaluation of an Automated Smartphone-based Digital Auscultation Application for Detecting Abnormal Heart Sounds Using Deep Learning Techniques
This pilot study is to investigate the feasibility of obtaining medical grade audio phonocardiogram (PCG) recordings using a smartphone-based auscultation device in the first step.
- Trial name
- AVDA (NCT05325723)
- Where
- Switzerland
- Volunteers
- 102 people, healthy volunteers welcome
- Sponsor
- University Hospital, Basel, Switzerland
Skin Diseases
Using AI as a Diagnostic Decision Support Tool to Help the Diagnosis of Skin Disease in Primary Healthcare in Catalonia
Background: Dermatological conditions are a relevant health problem. Machine learning models are increasingly being applied to dermatology as a diagnostic decision support tool using image analysis, specially for skin cancer…
- Trial name
- NCT04562168
- Testing
- Autoderm® dermatology search engine (ML model) testing
- Where
- Spain
- Volunteers
- 100 people
- Sponsor
- Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
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
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
Hemiparesis
ESTIMATION OF BALANCE STATUS IN HEMIPARETICS
Although Balance Evaluation Systems Test(BESTest) is an important balance assessment tool to differentiate balance deficits, it is time consuming and tiring for hemiparetic patients.
- Trial name
- NCT04423497
- Testing
- Balance Evaluation Systems Test
- Volunteers
- 66 people
- Sponsor
- Pamukkale University
Artificial Intelligence, Colorectal Polyp
Diagnostic Performance of a Convolutional Neural Network for Diminutive Colorectal Polyp Recognition
Rationale: Diminutive colorectal polyps (1-5mm in size) have a high prevalence and very low risk of harbouring cancer. Current practice is to send all these polyps for histopathological assessment by the pathologist.
- Trial name
- POLAR (NCT03822390)
- Testing
- CAD-CNN system
- Where
- Netherlands
- Volunteers
- 292 people
- Sponsor
- Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Acute-on-chronic Hepatitis B Liver Failure
Study of the Model to Predict 3-month Mortality Risk of Acute-on-chronic Hepatitis B Liver Failure
This study was to predict 3-month mortality risk of acute-on-chronic hepatitis B liver failure (ACHBLF) on an individual patient level using artificial neural network (ANN) system.
- Trial name
- NCT01826760
- Testing
- Using training and testing groups to construct ANN based on laboratory tests
- Where
- China
- Volunteers
- 583 people, healthy volunteers welcome
- Sponsor
- Wenzhou Medical University
Ventricular Dysfunction, Left, Ventricular Function, Left
Federated Learning for Point-of-Care Cardiac Ultrasound
This prospective, multicenter study will evaluate a federated machine-learning system designed to analyze focused cardiac point-of-care ultrasound examinations.
- Conditions
- Ventricular Dysfunction, Left, Ventricular Function, Left, Echocardiography, Ultrasonography
- Trial name
- FL-POCUS (NCT07800962)
- Testing
- Focused Cardiac Point-of-Care Ultrasonography, FL-POCUS Federated Machine-Learning Analysis System
- Where
- United States
- Volunteers
- 3,000 people
- Sponsor
- Truway Health, Inc.
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
Non-Alcoholic Fatty Liver Disease, Non-Alcoholic Steatohepatitis
Clinical Performance of LIVERFASt Test Compared w/ Liver Biopsy in Patients w/ NAFLD.
The primary objective of this study is to assess the clinical performance of LIVERFAStTM In Vitro Diagnostic (IVD) Tests (Fibrosis score, Activity score and Steatosis score) in NAFLD suspected patients for staging of fibrosis and…
- Conditions
- Non-Alcoholic Fatty Liver Disease, Non-Alcoholic Steatohepatitis, Liver Fibroses, Liver Inflammation
- Trial name
- NCT04579874
- Testing
- LIVERFASt
- Where
- 8 sites in United States
- Volunteers
- 241 people
- Sponsor
- Fibronostics USA, Inc
Polycystic Liver Disease, Polycystic Hepatorenal Disease
Automatic Segmentation of Polycystic Liver
Assessing the volume of the liver before surgery, predicting the volume of liver remaining after surgery, detecting primary or secondary lesions in the liver parenchyma are common applications that require optimal detection of…
- Conditions
- Polycystic Liver Disease, Polycystic Hepatorenal Disease, Liver Injury
- Trial name
- ASEPOL (NCT03960710)
- Testing
- Anonymized CT examinations, Training (1), Training (2)
- Where
- France
- Volunteers
- 120 people
- Sponsor
- Hospices Civils de Lyon
Gingivitis
AI Gum Health Evaluation with Smartphone
Background The most common dental diseases are tooth decay (caries) and gum disease (gingivitis and periodontitis). Obviously, these diseases are caused by dental plaque (bacterial biofilm).
- Trial name
- NCT05685355
- Testing
- Standardized intraoral photography
- Where
- Hong Kong
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- The University of Hong Kong