Clinical trials: Intelligence
Diabetes Mellitus, Artificial Intelligence (AI)
Artificial Intelligence-Supported Mobile Application For Diabetes Self-Management
Patients in the AI-supported mobile application group will be able to log in with a username and password that will be defined specifically for them.
- Conditions
- Diabetes Mellitus, Artificial Intelligence (AI), Self-management
- Trial name
- NCT06650098
- Testing
- artificial intelligence-supported mobile application, WEB based application
- Where
- Turkey (Türkiye)
- Volunteers
- 156 people
- Sponsor
- Uludag University
Artificial Intelligence (AI), Clinical Reasoning
Learning Diagnostic Reasoning Through AI
This experiment aims to determine the effect of AI-generated questions and feedback on diagnostic reasoning in preclinical medical students.
- Conditions
- Artificial Intelligence (AI), Clinical Reasoning, Medical Education, Feedback
- Trial name
- NCT06754826
- Testing
- AI-generated questions and feedback as a spaced repetition
- Where
- Turkey (Türkiye)
- Volunteers
- 71 people, healthy volunteers welcome
- Sponsor
- Gazi University
Nursing Students, Artificial Intelligence
ChatGPT-Assisted Hypertension Knowledge in Nursing Students
ChatGPT provides quick access to information, research support, and study materials, but concerns remain regarding its reliability, accuracy, and inability to offer personalized care principles essential in nursing.
- Conditions
- Nursing Students, Artificial Intelligence, Hypertension
- Trial name
- NCT06863792
- Testing
- ChatGPT
- Volunteers
- 96 people, healthy volunteers welcome
- Sponsor
- Ankara University
Dental Caries (Diagnosis), Artifical Intelligence
Accuracy Of Detection Of Dental Caries From Intraoral Images Using Different ArtificiaI Intelligence Models
The goal of this observational study is to evaluate the diagnostic accuracy of different deep learning models in detecting dental caries from intra oral images taken by a professional intra oral camera in children.
- Conditions
- Dental Caries (Diagnosis), Artifical Intelligence, Intraoral Images
- Trial name
- NCT06749743
- Testing
- FASTER RCNN
- Where
- Egypt
- Volunteers
- 398 people
- Sponsor
- Cairo University
Keratoconus, Keratoconus, Artificial Intelligence, Support Vector Machine
Predicting Manifest Astigmatism in Keratoconus Patients.
The cornea of the human eye has several functions. It is transparent to allow light into the eye and its shape focuses the incoming light onto the retina.
- Trial name
- NCT06798779
- Testing
- Glasses, Corneal topography
- Where
- United Kingdom
- Volunteers
- 800 people
- Sponsor
- Royal Devon and Exeter NHS Foundation Trust
Congenital Heart Disease (CHD), Artificial Intelligence (AI)
A Multicenter Study of Artificial Intelligence Model for Fetal Congenital Heart Disease
This study addresses congenital heart disease in fetuses, a specific birth defect, by collaborating with multicenter medical institutions across China.
- Trial name
- NCT06796127
- Where
- China
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Beijing Anzhen Hospital
Artificial Intelligence (AI), Resident Education
ChatGPT Versus Physical Medicine and Rehabilitation Residents
The aim of this study was to assess the performance of ChatGPT on examinations administered to physical medicine and rehabilitation (PMR) residents.
- Trial name
- NCT06775938
- Testing
- resident exam
- Where
- Turkey (Türkiye)
- Volunteers
- 314 people
- Sponsor
- Sisli Hamidiye Etfal Training and Research Hospital
Social Skills, Perfectionism
Effectiveness of the Universal Prevention Program Super Skills for Life in Schools
This study aims to evaluate the effectiveness of a 12-session cognitive-behavioral transdiagnostic protocol for Spanish children aged 8 to 12 within an educational context, Super Skills for Life.
- Conditions
- Social Skills, Perfectionism, Self Esteem, Positive Affect
- Trial name
- NCT06444581
- Testing
- Super Skills Schools
- Where
- Spain
- Volunteers
- 1,100 people
- Sponsor
- Universidad Miguel Hernandez de Elche
Atopic Dermatitis, Artificial Intelligence
AI App for Management of Atopic Dermatitis
Background: Atopic dermatitis (AD) is a chronic inflammatory skin disease characterized by recurrent rashes and itching, which seriously affects the quality of life of patients and brings heavy economic burden to society.
- Trial name
- NCT06362629
- Testing
- Artificial Intelligence assistant decision-making system (AIADMS) App
- Where
- China
- Volunteers
- 232 people
- Sponsor
- West China Hospital
Myopia, Randomized Controlled Trials
Effect of a Myopia Prediction System on Myopia Prevention and Control
The global rise in myopia, particularly among children and adolescents in China, underscores the inadequacy of current prevention strategies, indicating that conventional screening and education alone are insufficient to curb the…
- Conditions
- Myopia, Randomized Controlled Trials, Artificial Intelligence (AI)
- Trial name
- NCT06633393
- Testing
- Feedback on Predicted High Myopia Risk at Age 18 Using the Myopia Prediction System, Feedback on Ophthalmic Examinations
- Where
- China
- Volunteers
- 20,000 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Melanoma (Skin Cancer), Artificial Intelligence (AI)
Artificial Intelligence Based Melanoma Early Diagnosis and Risk Prediction in Children, Adolescents and Young Adults
The goal of this study is to develop supportive diagnostic artificial intelligence algorithms to distinguish melanoma from nevi or other benign pigmented skin lesions, especially in younger patients (below the age of 30).
- Conditions
- Melanoma (Skin Cancer), Artificial Intelligence (AI), Pediatric Cancer
- Trial name
- AI-MEL (NCT06621810)
- Where
- 3 sites in Germany, Italy and 1 more
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- German Cancer Research Center
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
Cancer, Carcinoma, Artificial Intelligence (AI)
Health Outcomes of Nasopharyngeal Carcinoma Patients Three Years After Treatment by the AI-assisted Home Enteral Nutrition Management
You have completed the current stage of cancer treatment, after which you need to check regularly and pay attention to nutrition. So we started this study to see if AI could help with nutrition management.
- Conditions
- Cancer, Carcinoma, Artificial Intelligence (AI), Nutrition
- Trial name
- NCT06603909
- Testing
- group 1: Use AI to assist nutrition management, group 2：Traditional nutrition management（through the hospital dietitian）
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Changsha Medical University
Respiratory Infectious Diseases, Artificial Intelligence
Exploring the Application Efficacy of Artificial Intelligence (AI) Diagnostic Tools in Medical Imaging (MI) of Respiratory(R) Infectious (I) Disease (D)
The early identification and severe warning of acute respiratory infectious diseases are of paramount importance. Utilizing effective means to make correct diagnoses of the source of infection at an early stage is the premise of…
- Conditions
- Respiratory Infectious Diseases, Artificial Intelligence, Medical Imaging
- Trial name
- AI-MIRID (NCT06553911)
- Testing
- Artificial Intelligence-based medical imaging interpretation
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Huashan Hospital
Bowel Obstruction, Artificial Intelligence
Deep Learning-based Artificial Intelligence for the Diagnosis of Small Bowel Obstruction
The study will compare the diagnostic accuracy and time to diagnosis of computed tomography images of patients with suspected intestinal obstruction seen in the emergency room by residents and surgeons, with and without…
- Trial name
- NCT06481358
- Testing
- Artificial intelligence
- Where
- Japan
- Volunteers
- 17 people, healthy volunteers welcome
- Sponsor
- Nagoya University
Self-Directed Learning, Artificial Intelligence
ChatGPT Helping Advance Training for Medical Students: A Study on Self-Directed Learning Enhancement
The goal of this clinical trial is to evaluate the effect of LearnGuide, a custom GPT developed with ChatGPT for supporting self-directed learning (SDL) in medical students.
- Conditions
- Self-Directed Learning, Artificial Intelligence, Medical Education
- Trial name
- CHAT-MS (NCT06276049)
- Testing
- custom GPT supported self-directed learning
- Where
- China
- Volunteers
- 103 people, healthy volunteers welcome
- Sponsor
- Wang Shalong
Acanthamoeba Keratitis, Artificial Intelligence
Acanthamoeba and Artificial Intelligence
Acanthamoeba keratitis, caused by the pathogen Acanthamoeba spp, is recognized worldwide as a severe ocular infection that can pose potential risks to vision.
- Trial name
- NCT06332703
- Volunteers
- 151 people
- Sponsor
- IRCCS Ospedale San Raffaele
Artificial Intelligence, Preoperative Evaluation
The Success of ChatGPT in Providing American Society of Anesthesiologist (ASA) Scores
Patients applied to the anesthesia clinics of Health Science University Istanbul Kanuni Sultan Suleyman Training and Research Hospital and Basaksehir Cam and Sakura City Hospital were included in the study.
- Trial name
- ASA (NCT06321445)
- Testing
- providing ASA score
- Where
- Turkey (Türkiye)
- Volunteers
- 2,851 people, healthy volunteers welcome
- Sponsor
- Kanuni Sultan Suleyman Training and Research Hospital
Muscle-invasive Bladder Cancer, Artificial Intelligence
Multi-parametric MRI in Patients of Bladder Cancer
Accurate preoperative detection of muscle-invasive bladder cancer remains a clinical challenge. The investigators aimed to develop and validate a knowledge-guided causal diagnostic network for the detection of muscle-invasive…
- Trial name
- NCT06362330
- Testing
- magnetic resonance imaging
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- The First Affiliated Hospital with Nanjing Medical University
Artificial Intelligence Supported Image Reviewing
Artificial Intelligence-supported Reading Versus Standard Double Reading for the Interpretation of Magnetic Resonance Imaging in the Detection of Local Recurrence for Nasopharyngeal Carcinoma: a Randomised Controlled Multicenter Study
The aim of this randomized controlled study is to investigate whether the previously developed artificial intelligence model can triage post-radiotherapy magnetic resonance images of patients with nasopharyngeal carcinoma and…
- Trial name
- NCT06356441
- Testing
- AI
- Where
- China
- Volunteers
- 10,400 people
- Sponsor
- Sun Yat-sen University