Clinical trials: Artificial Intelligence in Radiology
Proximal Caries, Tooth Caries
Detection of Proximal Caries in Bitewing Radiography Using Artificial Intelligence
Using a sequence of bitewing radiographs, Artificial intelligence assists in identifying interproximal caries. For the identification of dental caries in bitewing, periapical, and panoramic radiographs, a trained deep learning…
- Trial name
- NCT07404007
- Testing
- Artificial Intelligence (AI): Deep learning that is applied in Diagnosis of the proximal Caries, Manual annotation of Digital Bitewing Radiograph by human experts
- Where
- Egypt
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Cairo University
Tuberculosis (TB)
Research on Key Interventional Technologies for Controlling the Epidemic in High-prevalence Areas of Tuberculosis in Guangxi, China
The goal of this study is to find out if using mobile vans with advanced technology can help reduce tuberculosis (TB) in rural Guangxi, China. The study will also examine how practical and cost-effective this approach is.
- Trial name
- NCT06702774
- Testing
- Active case finding
- Where
- China
- Volunteers
- 43,067 people, healthy volunteers welcome
- Sponsor
- University of Toronto
Fracture, Bone Fracture
AI Assisted Detection of Fractures on X-Rays (FRACT-AI)
This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838).
- Conditions
- Fracture, Bone Fracture, Dislocation, Fracture Multiple
- Trial name
- FRACT-AI (NCT06130397)
- Testing
- Cases reading, Ground truthing
- Where
- United Kingdom
- Volunteers
- 21 people, healthy volunteers welcome
- Sponsor
- Oxford University Hospitals NHS Trust
Painful Hip, Fonctional Impotence After Minor Trauma (Fall)
Radiologist Diagnostic Performance Versus Artificial Intelligence (AI)
In France, femoral neck fracture is mainly detected with interpretation of pelvis/hip X-ray imaging (French Health Authority recommandation).
- Trial name
- RAVIA (NCT04304742)
- Testing
- hip standard radiography/ CT scan/ MRI
- Where
- France
- Volunteers
- 1,000 people
- Sponsor
- University Hospital, Montpellier
Artificial Intelligence, Machine Learning
Checklist for AI in Medical Imaging (CLAIM) Consensus Panel
The investigators will revise the Checklist for AI in Medical Imaging (CLAIM) guideline using Delphi consensus methods. An international panel of physicians, researchers, and journal editors with expertise in AI in medical…
- Conditions
- Artificial Intelligence, Machine Learning, Diagnostic Imaging
- Trial name
- CLAIM (NCT05984082)
- Where
- United States
- Volunteers
- 72 people
- Sponsor
- University of Pennsylvania
Pneumothorax, Pulmonary Nodule, Solitary
Multi-Reader Retrospective Study Examining Carebot AI CXR 2.0.21-v2.01 Implementation in Everyday Radiology Clinical Practice
The primary objective is to evaluate the performance parameters of the proposed DLAD (Carebot AI CXR) in comparison to individual radiologists.
- Conditions
- Pneumothorax, Pulmonary Nodule, Solitary, Atelectasis, Subcutaneous Emphysema
- Trial name
- NCT05963945
- Testing
- Carebot AI CXR
- Where
- Czechia
- Volunteers
- 956 people
- Sponsor
- Carebot s.r.o.
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
Bone Injury, Artificial Intelligence
Application of Mobile DR in the Diagnosis of Bone Trauma in High Cold Environment
In the high cold environment, mobile digital radiography (DR) is used to collect the imaging of bone injury patients, and the artificial intelligence diagnosis module is used to diagnose the injury.
- Trial name
- NCT05440435
- Testing
- digital radiography (DR)
- Where
- 4 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Rongrong Hua
Tuberculosis (TB)
Effectiveness of Computer-Aided Detection Chest X-Ray Screening for Improving Tuberculosis Diagnostic Yield in Chinese Primary Health Care Settings: Study Protocol for a Prospective Cluster Randomized Controlled Trial
The global incidence rate and mortality of tuberculosis (TB) pose a challenge to achieving the goals set out in the tuberculosis eradication strategy and the SDGs by 2030.
- Trial name
- NCT06963606
- Testing
- Artificial intelligence-assisted chest X-ray in TB screening, Routine doctors analyze the process of chest X-rays
- Where
- China
- Volunteers
- 22,000 people, healthy volunteers welcome
- Sponsor
- Xuelin Yang
Bone Fractures
AI-Assisted Fracture Detection in Emergency Radiography
This study evaluates whether artificial intelligence (AI) can support doctors who interpret X-rays for suspected fractures in emergency care.
- Trial name
- FAIR (NCT06754137)
- Testing
- BoneView AI-Assisted Radiograph Interpretation
- Where
- 3 sites in Austria, Germany
- Volunteers
- 1,667 people
- Sponsor
- Salzburger Landeskliniken
Root Canal Treatment
On Previously Root Canal-treated Patients Using an AI Program, Detect the Accuracy of it in the Detection of Root Canal Obturation Quality on CBCT Compared With Conventional PA Radiography, e.g., Voids, Length of Obturation, and Density, and Then do Retreatment if Any Failure is Recorded.
aims to evaluate the accuracy of clinicians (conventional radiograph) compared to cone beam computed tomography (CBCT) and artificial intelligence software's ability to identify the quality of root canal obturation.
- Trial name
- AI (NCT07056998)
- Testing
- root canal retreatment
- Where
- Egypt
- Volunteers
- 3 people, healthy volunteers welcome
- Sponsor
- Tala Ghassan Hassan Odeh
Consolidation, Lung Injury
Evaluation of the Efficacy of Diagnostic Support Algorithms in Chest X-rays- LuAna Trial
This study aims to evaluate whether the use of AI as a physician support tool is associated with an increase in the detection rate of chest radiographic findings in adults with respiratory complaints, compared to diagnosis…
- Conditions
- Consolidation, Lung Injury, Pleural Effusion, Pneumothorax
- Trial name
- NCT06686251
- Testing
- App LuAna
- Where
- Brazil
- Volunteers
- 2,400 people
- Sponsor
- Hospital Israelita Albert Einstein
Knee Osteoarthritis, Chitosan Nanoparticles Gel
Extracorporeal Shockwave Versus Phonophoresis Using Chitosan-Nanoparticles Gel on Functional and Anatomical Changes Detected With Artificial Intelligence Based Texture Analysis Algorithm in Knee Osteoarthritis Patients: A Double Blind Randomized Controlled Trial
A parallel double blinded randomized controlled clinical trial (RCT) with a 1:1:1 allocation will be conducted in an orthopedic clinic in Cairo and Giza Governments - Egypt.
- Conditions
- Knee Osteoarthritis, Chitosan Nanoparticles Gel, Artificial Intelligence Texture Analysis Bases Algorithm, Subchondral Bone Changes (Anatomical Changes)
- Trial name
- NCT06567301
- Testing
- Ultrasound therapy combined with Chitosan nanoparticles gel
- Where
- 2 sites in Egypt
- Volunteers
- 120 people
- Sponsor
- Cairo University
Chest Pain, Dyspnea
ER-VISION-AI Study
Prospective, multicenter, randomized, open-label, blinded-endpoint (PROBE-like) clinical trial evaluating whether physician-supervised Generative Pre-trained Transformer (GPT)-assisted multimodal diagnostic support improves…
- Conditions
- Chest Pain, Dyspnea, Acute Cardiopulmonary Disease, Emergency Department Patients
- Trial name
- ER-VISION-AI (NCT07727590)
- Testing
- Generative Pre-trained Transformer (GPT)-assisted multimodal visual language model (VLM) diagnostic support, Conventional emergency department diagnostic evaluation
- Where
- South Korea
- Volunteers
- 1,000 people
- Sponsor
- Ewha Womans University Mokdong Hospital
Healthy
Using Artificial Intelligence to Improve Radiologists' Performance in Radiology Report Writing: a Randomised Controlled Trial
This is a randomised controlled trial to assess whether artificial intelligence software can improve radiologists' performance in radiology report writing and improve the quality of radiology reports.
- Trial name
- NCT06907927
- Testing
- Control group, Experimental group
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
COVID-19, Pneumonia, Viral
Artificial Intelligence Algorithms for Discriminating Between COVID-19 and Influenza Pneumonitis Using Chest X-Rays
This project aims to use artificial intelligence (image discrimination) algorithms, specifically convolutional neural networks (CNNs) for scanning chest radiographs in the emergency department (triage) in patients with suspected…
- Conditions
- COVID-19, Pneumonia, Viral, Influenza With Pneumonia, Flu Symptom
- Trial name
- AI-COVID-Xr (NCT04313946)
- Testing
- Scanning Chest X-rays and performing AI algorithms on images
- Where
- 3 sites in Italy, Romania and 1 more
- Volunteers
- 200 people
- Sponsor
- Professor Adrian Covic
Breast Neoplasms, Magnetic Resonance Imaging
Artificial Intelligence Analysis for Magnetic Resonance Imaging in Screening and Diagnosis of Breast Cancer
Use Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI. Build an abbreviated protocal, and investigate whether an abbreviated protocol was suitable for breast…
- Trial name
- NCT05243121
- Testing
- MRI
- Where
- China
- Volunteers
- 5,000 people
- Sponsor
- Peking University People's Hospital
Lung Cancer
Radiograph Accelerated Detection and Identification of Cancer in the Lung
Lung cancer is the most common cause of cancer death in the UK yet compared to Europe it has low survival rates.The NHS aims to find 75% of cancers at an early stage as this can improve the chances of survival.
- Trial name
- RADICAL (NCT06044454)
- Testing
- qXR
- Where
- 4 sites in United Kingdom
- Volunteers
- 60,000 people
- Sponsor
- NHS Greater Glasgow and Clyde
Differential Diagnosis, Diagnostic Accuracy
Evaluation of One-Shot Vision Differential Diagnosis (OSVDE) and Multi-Step Conversational Non-Inferiority (MSCNE) in AI Medical Interviewing
This study evaluates the diagnostic performance of a multimodal artificial intelligence (AI) system (AIMD.1) using de-identified medical images and semi-synthetic patient simulations.
- Trial name
- OSVDE-MSCNE (NCT07470463)
- Testing
- AI Diagnostic System (AIMD.1)
- Where
- United States
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Magic Health Inc. (d.b.a. Nolla Health)
Peri-implantitis, Alveolar Bone Loss
Diagnostic Accuracy of Large Language Models for Peri-Implant Marginal Bone Loss on Panoramic Radiographs
Dental implants are a routine treatment for missing teeth, but the number of implants affected by peri-implantitis, a progressive inflammatory disease of the tissues around implants, is increasing.
- Conditions
- Peri-implantitis, Alveolar Bone Loss, Dental Implant
- Trial name
- NCT07907900
- Testing
- Multimodal large language model evaluation (ChatGPT, Gemini, Claude, DeepSeek, Grok)
- Where
- Turkey (Türkiye)
- Volunteers
- 784 people, healthy volunteers welcome
- Sponsor
- Ankara University