Clinical trials: Artificial Intelligence
Scoliosis Patients
Artificial Intelligence and Scoliosis
The aim of the study to use artificial intelligence technology in assessment of scoliosis degree of severity and to personalize for treatment plan for each pa tient .
- Trial name
- NCT06589583
- Where
- Egypt
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Delta University for Science and Technology
Major Depressive Disorder
Optimize and Predict Antidepressant Efficacy for Patient With MDD Using Multi-omics Analysis and AI-predictive Tool
OPADE is a non-profit, observational, multicenter, open-label study aimed at defining personalized treatment for Major Depressive Disorder (MDD).
- Trial name
- OPADE (NCT06550037)
- Where
- Italy
- Volunteers
- 350 people
- Sponsor
- Alessio Fasano
Subclinical Spinal Pain
The Effects of Chiropractic Care and Children With Subclinical Spinal Pain
There is growing evidence that chiropractic care positively impacts various aspects of central and autonomic nervous system function.This study aims to investigate short term and long-term effects of Chiropractic care (CC) on…
- Trial name
- NCT05369143
- Testing
- Chiropractic care, Control Group
- Where
- Pakistan
- Volunteers
- 107 people
- Sponsor
- Riphah International University
Intracranial Aneurysm
Intelligent Microcatheter Shaping for Intracranial Aneurysm Coil Embolization
This prospective, multicenter, observational registry study will evaluate the real-world safety, effectiveness, and clinical value of artificial intelligence (AI)-assisted microcatheter shaping during coil embolization of…
- Trial name
- NCT07749404
- Testing
- Physician-Experience Microcatheter Shaping, AI-Assisted Microcatheter Shaping Simulation Technology
- Where
- China
- Volunteers
- 1,438 people
- Sponsor
- Xuanwu Hospital, Beijing
Postoperative Complications, Cardiovascular Diseases
Comparing Traditional Risk Scores and an AI-Based Multimodal Model for Predicting Cardiovascular Events After Gastrointestinal Surgery
The goal of this observational study is to develop and evaluate an artificial intelligence (AI)-based multimodal model for predicting major cardiovascular events within 30 days after gastrointestinal surgery in adults at Bach Mai…
- Conditions
- Postoperative Complications, Cardiovascular Diseases, Digestive System Surgical Procedures
- Trial name
- GI-MACE-AI (NCT07539532)
- Where
- Vietnam
- Volunteers
- 5,000 people
- Sponsor
- Bach Mai Hospital
Out-Of-Hospital Cardiac Arrest
Machine Learning Assisted Recognition of Out-of-Hospital Cardiac Arrest During Emergency Calls.
Emergency medical Services Copenhagen has developed a machine learning model that analyzes the calls to 1-1-2 (9-1-1) in real time. The model are able to recognize calls where a cardiac arrest is suspected.
- Trial name
- NCT04219306
- Testing
- Alert on dispatchers screen 'Suspect cardiac arrest'
- Where
- Denmark
- Volunteers
- 5,242 people
- Sponsor
- Emergency Medical Services, Capital Region, Denmark
Reproductive Issues, Subfertility
A Novel Integrative Non-invasive Embryo Selection Approach for IVF Based on MK-RS Analysis
During assisted reproductive technology treatment, embryo selection is an important process that may affect the clinical pregnancy rate.
- Conditions
- Reproductive Issues, Subfertility, IVF
- Trial name
- NCT05896709
- Testing
- MK-RS
- Where
- Hong Kong
- Volunteers
- 176 people
- Sponsor
- Chinese University of Hong Kong
Dyspnea
Artificial Intelligence to Improve Physicians' Interpretation of Chest X-Rays in Breathless Patients
Identifying the cause of breathlessness in acute patients in the emergency department is critical and challenging. The chest X-ray is central but challenging to read for non-radiologist physicians.
- Trial name
- XRAI (NCT05117320)
- Testing
- AI support
- Where
- Denmark
- Volunteers
- 33 people, healthy volunteers welcome
- Sponsor
- Bispebjerg Hospital
Neurodegenerative Diseases, Parkinson Disease
Neurodegenerative Diseases Progression Markers (MARKERS-NDD)
MARKERS-NDD is a prospective, observational, longitudinal study, which aims to collect data from patients affected by neurodegenerative diseases (NDD) followed longitudinally for routine examinations performed as part of normal…
- Conditions
- Neurodegenerative Diseases, Parkinson Disease, Synucleinopathies, Lewy Body Disease
- Trial name
- MARKERS-NDD (NCT06596746)
- Testing
- Observation
- Where
- Italy
- Volunteers
- 600 people
- Sponsor
- Casa di Cura San Raffaele Cassino
Hepatocellular Carcinoma (HCC)
Artificially Intelligent Model for Accurate Detection of HCC
Purpose: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to improve its early detection. The investigators aimed to develop a model with multi-modal features (MMF) using artificial…
- Trial name
- NCT06637059
- Testing
- observational study
- Where
- China
- Volunteers
- 1,092 people
- Sponsor
- Zhejiang University
Allergic Rhinitis, Asthma
ClimAIr: AI to Assess the Impact of Pollution and Climate on Respiratory Health in Europe
The ClimAIr project will expand the evidence-based understanding of climate change, air pollution, and non-communicable respiratory diseases by using Artificial Intelligence (AI) tools.
- Trial name
- ClimAIr (NCT07107009)
- Volunteers
- 1,906 people
- Sponsor
- Fundación Pública Andaluza para la Investigación de Málaga en Biomedicina y Salud
Renal Insufficiency, Chronic, Arteriovenous Fistula
Artificial Intelligence-based Prediction of Radio-cephalic Arteriovenous Fistula Maturation Using Preoperative Duplex Examination
The goal of this observational study is to assess the efficacy of AI-driven models in analyzing comprehensive ultrasonographic variables across multiple forearm locations to predict successful AVF maturation.
- Conditions
- Renal Insufficiency, Chronic, Arteriovenous Fistula, Artificial Intelligence (AI), Machine Learning
- Trial name
- NCT06600750
- Testing
- Arteriovenous fistula
- Where
- South Korea
- Volunteers
- 494 people
- Sponsor
- Seoul National University Hospital
Post-hepatectomy Liver Failure, Hepatocellular Carcinoma
Usability and Clinical Effectiveness of an Interpretable Deep Learning Framework for Post-Hepatectomy Liver Failure Prediction
The goal of this in-silico clinical trial is to learn about the usability and clinical effectiveness of an interpretable deep learning framework (VAE-MLP) using counterfactual explanations and layerwise relevance propagation for…
- Conditions
- Post-hepatectomy Liver Failure, Hepatocellular Carcinoma, Artificial Intelligence
- Trial name
- NCT06031818
- Testing
- The explanation of deep learning framework (VAE-MLP) , including counterfactual explanations and layerwise relevance propagation, The model prediction, The model prediction and the explanation of deep learning framework (VAE-MLP) , including counterfactual explanations and layerwise relevance propagation
- Where
- China
- Volunteers
- 80 people
- Sponsor
- Maastricht University
Self-harm, Suicide
Artificial Intelligence Self Harm Application
This is a mixed-methods study. The quantitative component will comprise of a multicentre rater-blind, randomized controlled trial to evaluate the feasibility and acceptability of AISHA in addition to treatment as usual (TAU)…
- Trial name
- AISHA (NCT06019663)
- Testing
- The Artificial Intelligence intervention for Self-Harm prevention Application (AISHA) is a mobile intervention based on Y-CMAP
- Where
- 2 sites in Pakistan
- Volunteers
- 312 people
- Sponsor
- Pakistan Institute of Living and Learning
Glioma
MR Based Survival Prediction of Glioma Patients Using Artificial Intelligence
This registry aims to collect clinical, molecular and radiologic data including detailed survival data, clinical parameters, molecular pathology (1p/19q codeletion, MGMT methylation, IDH and TERTp mutations, etc) and…
- Trial name
- NCT04215211
- Testing
- Survival prediction for glioma patients
- Where
- China
- Volunteers
- 2,500 people
- Sponsor
- The First Affiliated Hospital of Zhengzhou University
Retinal Diseases, Artificial Intelligence
Artificial Intelligence System for Assessing Image Quality of Fundus Images and Its Effects on Diagnosis
Fundus images are widely used in ophthalmology for the detection of diabetic retinopathy, glaucoma and other diseases. In real-world practice, the quality of fundus images can be unacceptable, which can undermine diagnostic…
- Trial name
- NCT04289064
- Testing
- Taking a fundus image
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Telephone Hotlines, AI Chatbot
Comparing the Effectiveness of AI Chatbot with That of Telephone Hotline
The COVID-19 pandemic has significantly impacted the wellbeing of people in Hong Kong, leading to social distancing policies and changes in healthcare service utilization.
- Trial name
- AI chatbot (NCT06621134)
- Testing
- AI Chatbot, Telephone hotline
- Where
- Hong Kong
- Volunteers
- 48 people
- Sponsor
- The University of Hong Kong
Nursing Students, Artificial Intelligence (AI)
AI-Supported Case Analysis Among Nursing Students
The aim of this study is to determine the effect of AI-supported internal medicine nursing case analysis on students' case management performance, learning outcomes, learning experience, clinical self-efficacy, and cognitive load…
- Trial name
- NCT07614503
- Testing
- Case Analysis, AI-supported case
- Where
- Turkey (Türkiye)
- Volunteers
- 42 people, healthy volunteers welcome
- Sponsor
- TC Erciyes University
Dementia
AI4HOPE Pilot Study 1 Digital Toolkit Assessment
The pilot study will develop and test a standardized assessment toolkit that will provide conclusive information with a tolerable burden for cognitively impaired patients with dementia.
- Trial name
- AI4HOPE1 (NCT06289322)
- Testing
- Digital toolkit for assessment
- Volunteers
- 150 people
- Sponsor
- University of Bonn
Osteo Arthritis Knee and Hip, Artificial Intelligence (AI)
Comparing Physician and Artificial Intelligence Chatbot Responses to Frequently Asked Questions From Osteoarthritis Patients
This study aimed to compare the patient acceptability (preference, length, and difficulty) and accuracy of Chat-Generative Pre-Trained Transformer (ChatGPT) responses to questions from people with osteoarthritis (OA) with…
- Conditions
- Osteo Arthritis Knee and Hip, Artificial Intelligence (AI), Acceptability, Accuracy
- Trial name
- PARTICIPATE (NCT07202286)
- Where
- Netherlands
- Volunteers
- 286 people
- Sponsor
- Canisius-Wilhelmina Hospital