Clinical trials: AI (Artificial Intelligence)
Diabetic Retinopathy, Glaucoma
Evaluation of The Performance of Retinow AI Software
Eye diseases are a major public health problem worldwide and one of the main causes of vision loss. Diseases such as diabetic retinopathy, glaucoma and macular degeneration in particular can lead to serious vision loss and…
- Conditions
- Diabetic Retinopathy, Glaucoma, Macular Degeneration
- Trial name
- NCT06645964
- Where
- Turkey (Türkiye)
- Volunteers
- 915 people, healthy volunteers welcome
- Sponsor
- Retinow Health Technologies and R&D Industry Joint Stock Company
Skin Cancer, Melanoma
AI-Augmented Skin Cancer Diagnosis in Teledermatoscopy
In this study an artificial intelligence (AI) tool for skin cancer diagnosis is implemented in a teleldermatoscopy platform. The aim is to study the effects on clinician diagnostic accuracy, management decisions, and confidence.
- Trial name
- AIDMel (NCT06080711)
- Testing
- AI assistance
- Where
- Sweden
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Karolinska University Hospital
Pressure Injury
Virtual Reality and AI Wound-detecting System
This study is an experimental study. The main caregivers of pressure injury patients in the plastics surgery ward and general medicine ward of the hospital in Taipei City who are over 20 years old, have good communication skills…
- Trial name
- NCT06367179
- Testing
- Virtual reality and AI use, Health education leaflet
- Where
- Taiwan
- Volunteers
- 92 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Cardiomyopathies, Cardiac Arrest
AI-powered ECG Analysis Using Willem™ Software in High-risk Cardiac Patients (WILLEM)
WILLEM is a multi-center, prospective and retrospective cohort study. The study will assess the performance of a cloud-based and AI-powered ECG analysis platform, named Willem™, developed to detect arrhythmias and other abnormal…
- Conditions
- Cardiomyopathies, Cardiac Arrest, Cardiac Arrhythmias, Sudden Cardiac Death
- Trial name
- WILLEM (NCT05890716)
- Testing
- AI-powered ECG analysis to detect cardiac arrhythmic episodes
- Where
- 13 sites in Netherlands, Spain
- Volunteers
- 5,342 people, healthy volunteers welcome
- Sponsor
- Idoven 1903 S.L.
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
Sudden Cardiac Arrest
AI-guided Prediction and Treatment of Cardiac Arrest
Sudden cardiac arrest is a major health problem, and most people don't survive. One big reason is that even if resuscitation is successful, people commonly have recurrent cardiac arrests (rearrest).
- Trial name
- NCT07452016
- Testing
- Machine learning-guided cardiac arrest prediction device
- Where
- United States
- Volunteers
- 68 people, healthy volunteers welcome
- Sponsor
- MetroHealth Medical Center
Medical Education, Clinical Skills
AI-Assisted Feedback for Learning Standardized Tuina Skills
The goal of this educational study is to determine whether personalized feedback generated using sensor data and generative artificial intelligence (AI) can improve the learning of standardized Tuina skills among rehabilitation…
- Trial name
- AI-TUINA (NCT07767916)
- Testing
- AI-Supported Personalized Feedback, Sensor-Based Data Feedback, Traditional Instructor Feedback
- Volunteers
- 81 people, healthy volunteers welcome
- Sponsor
- Zhejiang University
Nursing Education Research
Impact of AI-Supported Teaching on Clinical Decision-Making in Nursing Students
This clinical trial aims to explore whether an AI-supported teaching method can help nursing students improve their clinical decision-making skills and knowledge during case-based learning.
- Trial name
- NCT06999447
- Testing
- ChatGPT-Supported Case-Based AI Education (C-CASE), Standard Education
- Where
- Turkey (Türkiye)
- Volunteers
- 66 people, healthy volunteers welcome
- Sponsor
- Yeditepe University
Retinal Disease
AI-Assisted Interpretation of Ultra-Widefield Retinal Images
The goal of this prospective observational study is to evaluate the impact of artificial intelligence (AI) assistance on clinician interpretation of ultra-widefield (UWF) retinal images.
- Trial name
- NCT07651943
- Testing
- AI-Assisted Interpretation, Unaided Interpretation
- Where
- 5 sites in China
- Volunteers
- 462 people, healthy volunteers welcome
- Sponsor
- Xiamen Ophthalmology Center Affiliated to Xiamen University
Ophthalmology, Artificial Intelligence (AI)
Detection of Systemic Diseases Such as Hepatobiliary Diseases From Ocular Images Via Deep Learning
Oculomics is an emerging interdisciplinary field that deciphers multi-dimensional, high-throughput ocular data to predict, diagnose, and monitor systemic diseases and health span.In recent years, artificial Intelligence may…
- Conditions
- Ophthalmology, Artificial Intelligence (AI), Hepatobiliary Diseases, Systemic Diseases
- Trial name
- NCT07581925
- Testing
- Systemic diseases such as Hepatobiliary Disorders
- Where
- China
- Volunteers
- 730 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Breast Neoplasms, Artificial Intelligence (AI)
Non-Contrast Breast MRI Diagnosis and Risk Stratification Using DWI-Generated Synthetic Contrast Enhancement
This study is conducted under the ethics-approved project titled "Artificial Intelligence Solution for Simplifying the Diagnostic Workflow of Breast MRI''.The goal of this observational study is to develop an integrated breast…
- Conditions
- Breast Neoplasms, Artificial Intelligence (AI), Magnetic Resonance Imaging (MRI), Diffusion Magnetic Resonance Imaging
- Trial name
- NCT07598084
- Testing
- Non-contrast breast MRI diagnostic model
- Volunteers
- 12,000 people, healthy volunteers welcome
- Sponsor
- Peking University People's Hospital
Use of Ambient AI Scribes, Patient-Phyisican Interaction
Assessing the Efficacy and Impact of Ambient AI Scribes in Healthcare
The goal of this clinical trial is to assess the impacts of ambient AI scribes on the workload and burnout in physicians who see patients in a clinic setting at least twice in a week, as well as the impacts on patient-physician…
- Conditions
- Use of Ambient AI Scribes, Patient-Phyisican Interaction, Physician Workload, Physician Burnout
- Trial name
- NCT07113938
- Testing
- Ambient AI Scribe
- Volunteers
- 64 people, healthy volunteers welcome
- Sponsor
- University of Saskatchewan
Type 2 Diabetes
Intervention Trial Using Artificial Intelligence(AI) Diet Application for Management of Diet in Diabetes Patients
The goal of this clinical trial is to evaluate the intervention effects on blood sugar levels using an AI diet app for personalized meal control and the continuous glucose monitoring system (CGMS) in patients with type 2 diabetes…
- Trial name
- NCT06089655
- Testing
- CGMS, AI diet application
- Where
- South Korea
- Volunteers
- 96 people, healthy volunteers welcome
- Sponsor
- KangWon National University Hospital
Artificial Intelligence, Qualitative Research
Qualitative Research Among Physicians and Junior Doctors Into the Preconditions for Implementing a CDSS Based on AI in the ICU
The goal of this study is to explore the different attitudes and preconditions of potential end-users (doctors \& physicians in training) required to achieve successful clinical implementation of models based on artificial…
- Conditions
- Artificial Intelligence, Qualitative Research, Decision Support Systems, Clinical
- Trial name
- KATRINA (NCT05303025)
- Testing
- Survey, Semi-structured group discussion
- Where
- 3 sites in Belgium
- Volunteers
- 69 people, healthy volunteers welcome
- Sponsor
- University Ghent
Medical Malpractice, Artificial Intelligence in Medicine
The Impact of AI-Assisted Diagnosis and Treatment on Physicians' Potential Legal Liability: An Expert Perspective
The goal of this randomized vignette-based experiment is to investigate how AI-related contextual factors influence expert assessment of physician negligence in AI-assisted diagnosis and treatment scenarios among experts in…
- Conditions
- Medical Malpractice, Artificial Intelligence in Medicine, Clinical Decision-Making
- Trial name
- NCT07869303
- Testing
- General AI With a Standard-of-Care Recommendation, General AI With a Non-Standard-of-Care Recommendation, Expert AI With a Standard-of-Care Recommendation
- Volunteers
- 440 people, healthy volunteers welcome
- Sponsor
- Xie Xiaoyun
Partially Edentulous Maxilla, Mandible, Edentulous Alveolar Ridge
Accuracy of Computer Guided Implant Placement in Edentulous or Partially Edentulous Patients Using Artificial Intelligence Technology vs Conventional Method A Randomized Clinical Trial
This study at Future University in Egypt aims to compare two modern methods of placing dental implants: one using artificial intelligence (AI)-assisted computer planning and the other using conventional computer-guided planning.
- Trial name
- NCT07627841
- Testing
- Group A: AI-assisted computer-guided implant planning, Group B: Conventional computer-guided implant planning
- Where
- Egypt
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Future University in Egypt
Hepatocellular Carcinoma (HCC), Intrahepatic Cholangiocarcinoma (Icc)
Pragmatic RCT of AI-Assisted Reading for Malignant Hepatic Lesions on CE-CT
The purpose of this multicenter pragmatic randomized controlled trial is to determine whether AI-assisted interpretation of multiphasic liver contrast-enhanced computed tomography (CE-CT) is non-inferior to standard radiology…
- Conditions
- Hepatocellular Carcinoma (HCC), Intrahepatic Cholangiocarcinoma (Icc), Hepatic Metastasis, Hepatic Hemangioma
- Trial name
- NCT07768085
- Testing
- AI-assisted abdominal CE-CT reporting, Standard abdominal CE-CT reporting without AI assistance
- Where
- China
- Volunteers
- 40,000 people, healthy volunteers welcome
- Sponsor
- Shengjing Hospital
Dysphagia
AI-Based Dysphagia Rehabilitation Program: Development and Validation
The goal of this clinical study is to learn if an artificial intelligence (AI)-assisted swallowing rehabilitation program can improve swallowing function in adults with dysphagia.
- Trial name
- NCT07767123
- Testing
- Neuromuscular electrical stimulation for swallowing, Multi-sensor swallowing screening for dysphagia
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- National Research Center for Rehabilitation Technical Aids
Artificial Intelligence (AI) in Diagnosis, Decision Support Systems, Clinical
Comparing Artificial Intelligence and Physicians: A Vignette-Based Study in Pediatric Clinical Decision-Making
This study evaluates how well anonymized artificial-intelligence (AI) tools perform on standardized pediatric case vignettes and whether showing AI suggestions can improve clinicians' answers.
- Conditions
- Artificial Intelligence (AI) in Diagnosis, Decision Support Systems, Clinical, Clinical Decision-making, Pediatrics
- Trial name
- NCT07179861
- Testing
- AI Suggestions (Anonymized 5-tool panel), Confidence Rating Task (1-10 Likert)
- Where
- Turkey (Türkiye)
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Haseki Training and Research Hospital
Diagnosis
Diagnostic Performance of Ai vs Junior Dentists
OBJECTIVES Compare diagnosis of Periapical lesions \& Proximal caries by AI and junior dentists Evaluate Validity of a deep learning based convolutional neural network (CNN) for detecting proximal caries lesions, periapical…
- Trial name
- NCT07908017
- Where
- Jordan
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- University of Jordan