Clinical trials: Artificial Intelligence in Radiology
Cancer, Cardiovascular
Strategy for EArly Recognition of Cancer, COPD & Heart Failure in the Emergency Department
SEARCH-ED is a research study which is running in Emergency Department (ED) of the Queen Elizabeth University Hospital. The aim of the study is to find out if using a computer programme can help doctors diagnose heart and lung…
- Conditions
- Cancer, Cardiovascular, Respiratory
- Trial name
- SEARCH-ED (NCT07391280)
- Testing
- Harrison.ai Chest X-Ray Solution
- Where
- United Kingdom
- Volunteers
- 17,000 people
- Sponsor
- NHS Greater Glasgow and Clyde
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
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
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
Lung Nodules, Lung Cancers
Assessing AI for Detecting Lung Nodules and Cancer: Pre- and Post-Deployment Study
The study evaluates the impact of qXR-LN compared to standard radiologist-only interpretations before and after AI deployment. The goal is to compare how well lung nodules and cancers are detected in two time periods: before and…
- Conditions
- Lung Nodules, Lung Cancers, Early-Stage Lung Cancer, Artificial Intelligence in Radiology
- Trial name
- AI-Lung (NCT06746324)
- Sponsor
- University of Florida
Pneumonia, Radiography
Change in the Proportion of Correct Interpretations of Pulmonary Opacities
This randomized crossover clinical trial will evaluate whether an artificial intelligence-based expert system improves the interpretation of chest radiographs by final-year medical students, rural physicians, and general…
- Trial name
- INTERPRET (NCT07744555)
- Testing
- Artificial intelligence expert system
- Where
- Colombia
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Universidad de la Sabana
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
Ventilator-Associated Pneumonia, Intensive Care Unit (ICU)
Artificial Intelligence-Based Evaluation of Chest X-Rays in Ventilator-Associated Pneumonia
Ventilator-associated pneumonia (VAP) is a common and serious infection in critically ill patients receiving mechanical ventilation in intensive care units (ICUs).
- Conditions
- Ventilator-Associated Pneumonia, Intensive Care Unit (ICU), Pneumonia, Bacterial, Artificial Intelligence (AI)
- Trial name
- NCT07509697
- Where
- Turkey (Türkiye)
- Volunteers
- 119 people
- Sponsor
- Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital
Irreversible Pulpitis, Apical Periodontitis
Success of Pulpotomy in Molars With Pulpitis With Periodontitis Detected Using AI and Those Without Periodontitis
Statement of problem: Although performing full pulpotomy in mature permanent molars with irreversible pulpitis showed success rates comparable to RCT, there is a growing need for further studies in order to determine the…
- Conditions
- Irreversible Pulpitis, Apical Periodontitis, Pulpitis
- Trial name
- NCT06767371
- Testing
- Patients with mature permanent molars diagnosed with severe pulpitis with apical periodontitis to be treated with full pulpotomy., Patients with mature permanent molars diagnosed with moderate pulpitis without apical periodontitis to be treated with full pulpotomy., Teeth with irreversible pulpitis
- Where
- Egypt
- Volunteers
- 57 people
- Sponsor
- Misr International 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
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
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
Thoracic Diseases
Artificial Intelligence Versus Anesthesiology Residents in Chest X-Ray Interpretation
This observational study will compare how accurately anesthesiology residents and an artificial intelligence system (hChestXR) identify abnormalities on chest X-rays.
- Trial name
- NCT07846553
- Where
- Turkey (Türkiye)
- Volunteers
- 35 people, healthy volunteers welcome
- Sponsor
- Çiğdem Ünal Kantekin
Pneumoconiosis
Evaluation of Pneumoconiosis High Risk Early Warning Models
Precaution of pneumoconiosis is more important than treatment. However, the current process can't early warn the high-risk dust exposed workers until they are diagnosed with pneumoconiosis.
- Trial name
- NCT04952675
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Peking University Third Hospital
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
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
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