Clinical trials: Artificial Intelligence in Radiology
Radiology, Internship and Residency
Measuring AI Reliance Among Intern Doctors in Palestine
This study aims to enroll intern doctors and have them sit one of three identical radiology exams. The only difference between them is an AI-assistant.
- Conditions
- Radiology, Internship and Residency, AI (Artificial Intelligence)
- Trial name
- AI-RP (NCT07558746)
- Testing
- AI prompt (Correct), AI prompt (Incorrect)
- Where
- Palestinian Territories
- Volunteers
- 159 people, healthy volunteers welcome
- Sponsor
- Al-Quds University
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
Oral Health, Dental Caries
The Use of Artificial Intelligence in the Dental X-rays Analysis
This cross-sectional study aims to perform a population-based assessment of the incidence of decay, dental fillings, root canal fillings, endodontic lesions, implants, implant and dental abutment crowns, pontic crowns, and…
- Conditions
- Oral Health, Dental Caries, Periapical Diseases, Tooth Loss
- Trial name
- NCT06258798
- Testing
- Taking a dental X-ray
- Where
- Poland
- Volunteers
- 1,025 people
- Sponsor
- Hospital of the Ministry of Interior, Kielce, Poland
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
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
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
Tuberculosis
Early Risk Assessment in Household Contacts (≥10 Years) of TB Patients by New Diagnostic Tests in 3 African Countries
The ERASE - TB study will be conducted in order to fill a critical unmet need for tuberculosis control. Persons who are in contact with an infectious TB case may become infected themselves.
- Trial name
- ERASE-TB (NCT04781257)
- Testing
- New test candidates
- Where
- 3 sites in Mozambique, Tanzania and 1 more
- Volunteers
- 2,100 people, healthy volunteers welcome
- Sponsor
- Michael Hoelscher
Skin Diseases, Artificial Intelligence
A Multi-centric Clinical Trial in China for Skin Diseases Intelligent Diagnosis and Treatment System
In response to clinical needs, infrared multi-spectral images are combined with traditional clinical images and other multi-modal data to build a more efficient intelligent auxiliary diagnosis system and intelligent equipment for…
- Conditions
- Skin Diseases, Artificial Intelligence, Augmented Reality, Medical Imaging
- Trial name
- NCT05463523
- Testing
- A Real-time Augmented Reality Device with Artificial Intelligence Integration
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Xiangya Hospital of Central South University
Knowledge of AI Applications in Dental Imaging
Use of Artificial Intelligence in Oral Radiology: A Multicenter Cross-Sectional Study in Egypt
The survey aims to assess knowledge and perceptions of AI applications in dental imaging among Egyptian dentists. It also aims to identify the needs and challenges of implementing this transformative technology into education…
- Trial name
- NCT06908603
- Testing
- Survey using a questionnaire.
- Where
- Egypt
- Volunteers
- 1,326 people
- Sponsor
- Cairo University
Pulmonary Nodules, Solitary, Pulmonary Nodules, Multiple
AI Assisted Detection of Chest X-Rays
This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838).
- Conditions
- Pulmonary Nodules, Solitary, Pulmonary Nodules, Multiple, Pulmonary Consolidation, Pneumothorax
- Trial name
- AID-CXR (NCT06075836)
- Testing
- Cases reading, Ground truthing
- Where
- United Kingdom
- Volunteers
- 33 people, healthy volunteers welcome
- Sponsor
- Oxford University Hospitals NHS Trust
Fracture
AI Performance for the Detection of Bone Fractures in Children
The artificial intelligence (AI) software BoneView (GLEAMER Company, Paris, France) has been designed, tested and validated to detect and locate recent or semi-recent fractures on standard radiographs.
- Trial name
- NCT05538403
- Where
- France
- Volunteers
- 210 people
- Sponsor
- University Hospital, Montpellier
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
Central Nervous System Disease, MRI
An Explainable Neuroradiologist Artificial Intelligence Assistance System for Brain CT and MRI
This clinic trial aims to validate the working performance of radiologists with or without artificial intelligence (AI) diagnostic tool at neurological diseases diagnosis on brain CT/MRI.
- Conditions
- Central Nervous System Disease, MRI, CT, AI (Artificial Intelligence)
- Trial name
- NCT07167043
- Testing
- AI-assisted diagnostic systems
- Where
- China
- Volunteers
- 30,000 people, healthy volunteers welcome
- Sponsor
- Yaou Liu
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
Intracranial Hemorrhages, Acute Ischemic Stroke
AI Assisted Reader Evaluation in Acute Computed Tomography (CT) Head Interpretation
This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838).
- Conditions
- Intracranial Hemorrhages, Acute Ischemic Stroke, Hydrocephalus, Cerebral Infarction
- Trial name
- AI-REACT (NCT06018545)
- Testing
- Ground truthing, Reading
- Where
- 4 sites in United Kingdom
- Volunteers
- 33 people, healthy volunteers welcome
- Sponsor
- Oxford University Hospitals NHS Trust
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
X-Ray, AI (Artificial Intelligence)
Clinical Application of Automated Interpretation System for Chest X-Ray Images Based on Multimodal Large Models
There's a global shortage of radiologists. Radiology AI's automatic reporting is key for boosting efficiency and meeting patient needs, especially in resource-poor areas.
- Conditions
- X-Ray, AI (Artificial Intelligence), Radiology
- Trial name
- NCT07117266
- Testing
- radiologists reference AI reports
- Where
- 3 sites in China
- Volunteers
- 296 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
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