Clinical trials: Artificial Intelligence in Radiology
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
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
Patients Waiting for Radiology Exams
Patient Perspectives on Artificial Intelligence in Radiology
The investigators will conduct a short questionnaire with patients who are waiting for radiology exams to understand their views on the use of artificial intelligence in radiology.
- Trial name
- PPAIR (NCT05618860)
- Testing
- Questionnaire
- Volunteers
- 175 people, healthy volunteers welcome
- Sponsor
- Guy's and St Thomas' NHS Foundation Trust
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
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
Non-Small Cell Lung Cancer, Artificial Intelligence (AI) in Diagnosis
AI-Based Prediction of Stage and Survival in Non-Small Cell Lung Cancer: A Retrospective Study
This study aims to evaluate the role of artificial intelligence (AI) in predicting disease stage and survival in patients diagnosed with non-small cell lung cancer (NSCLC).
- Trial name
- NCT07068139
- Testing
- AI-Based Predictive Modeling
- Volunteers
- 156 people
- Sponsor
- Hilkat Fatih Elverdi
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
Fracture
Clinical Validation of Boneview for FDA Submission
The goal of this clinical validation is to assess comparative performances of physicians with and without the assistance of BoneView for the diagnosis of fractures on radiographs.
- Trial name
- NCT04532580
- Testing
- Diagnosis of fracture on X-Ray Radiographs
- Where
- United States
- Volunteers
- 480 people, healthy volunteers welcome
- Sponsor
- Gleamer
Breast Cancer
A Retrospective Analysis of Magnetic Resonance Imaging Data for Breast Cancer Screening in the Open Consortium for Decentralized Medical Artificial Intelligence
ODELIA is a project that aims to improve breast cancer detection in magnetic resonance imaging by utilizing artificial intelligence and swarm learning (MRI).
- Trial name
- ODELIA (NCT05698056)
- Testing
- No intervention.
- Where
- 2 sites in Germany
- Volunteers
- 25,000 people
- Sponsor
- Technische Universität Dresden
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
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
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
Diagnostic Imaging, Common Systemic Diseases
Prospective User Study and Clinical Validation of Multimodal Medical Imaging Large Models
Following model development and locking, the fixed model is evaluated in prospectively collected CT cohorts from a single center. The study is observational and does not affect clinical care.
- Conditions
- Diagnostic Imaging, Common Systemic Diseases, Artificial Intelligence (AI)
- Trial name
- NCT07555002
- Testing
- Standalone Radiologist Interpretation, AI-assisted Radiologist Interpretation
- Where
- China
- Volunteers
- 310 people, healthy volunteers welcome
- Sponsor
- The Third Affiliated Hospital of Southern Medical University
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
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
Digestive System Disease, Polyp of Colon
Deep Learning in Classifying Bowel Obstruction Radiographs
Background: Accurate labeling of obstruction site on upright abdominal radiograph is a challenging task. The lack of ground truth leads to poor performance on supervised learning models.
- Conditions
- Digestive System Disease, Polyp of Colon, Bowel Disease
- Trial name
- NCT06321614
- Where
- China
- Volunteers
- 4,500 people
- Sponsor
- The First Affiliated Hospital of Soochow University
Lung Disease, Interstitial, Idiopathic Pulmonary Fibrosis (IPF)
Artificial Intelligence (AI) Detection of Incidental Interstitial Opacity on Chest Radiography
The goal of this observational study is to learn how well an artificial intelligence (AI)-based chest X-ray analysis software can incidentally detect interstitial lung disease (ILD), which appears as interstitial opacity, on…
- Conditions
- Lung Disease, Interstitial, Idiopathic Pulmonary Fibrosis (IPF), Incidental Findings, Interstitial Lung Disease (ILD)
- Trial name
- NCT07686562
- Testing
- VUNO Med®-Chest X-ray™
- Where
- South Korea
- Volunteers
- 1,293 people, healthy volunteers welcome
- Sponsor
- Chung-Ang University Hospital
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
Tuberculosis
Validation of Artificial Intelligence Enabled TB Screening and Diagnosis in Zambia
Tuberculosis (TB) is a global epidemic and for many years has remained a major cause of death throughout the developing world. Zambia is among the top 30 TB/HIV high burden countries.
- Trial name
- NCT05139940
- Where
- 3 sites in Zambia
- Volunteers
- 2,432 people
- Sponsor
- Centre for Infectious Disease Research in Zambia
Diagnostic Imaging, Eye Tracking
AI Timing in Chest X-ray Interpretation Using Eye-Tracking
Chest X-rays are commonly used to help diagnose and manage chest conditions. Artificial intelligence (AI) tools are increasingly being used to support chest X-ray interpretation.
- Conditions
- Diagnostic Imaging, Eye Tracking, Artificial Intelligence (AI)
- Trial name
- CREAITED (NCT07675694)
- Testing
- Original CXR First Timing, AI Output First Timing
- Where
- United Kingdom
- Volunteers
- 24 people, healthy volunteers welcome
- Sponsor
- University Hospitals, Leicester