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
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
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
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
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
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
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
Caries,Dental
Artificial Intellegence Rivals Digital Bitewing in Detect Secondary Caries
This study uses digital bitewing radiography as a standard for diagnosing proximal secondary caries. Patients will undergo imaging with a parallel technique and fixed settings to ensure high-quality, consistent images.
- Trial name
- NCT06667986
- Testing
- artificial intelligence models (YOLO and Mask-RCNN)
- Volunteers
- 322 people, healthy volunteers welcome
- Sponsor
- Cairo University
Hepatocellular Carcinoma
A Prototype AI Algorithm Versus Liver Imaging Reporting and Data System (LI-RADS) Criteria in Diagnosing HCC on CT
This study aims to prospective validate this AI algorithm in comparison with the current standard of radiological reporting in a randomized manner in the at-risk population undergoing triphasic contrast CT.
- Trial name
- Hepatocellular (NCT06626087)
- Testing
- Prototype artificial intelligence algorithm, LI-RADS
- Where
- 2 sites in Hong Kong
- Volunteers
- 300 people
- Sponsor
- The University of Hong Kong
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
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
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
As a Decision-support Tool During Preoperative Assessment
Accuracy of AI in Positional Classification Between Lower Third Molar and Mandibular Canal
This study will be performed to develop and validate an artificial intelligence model for automatic positional assessment of mandibular third molars relative to the mandibular canal on panoramic radiographs
- Trial name
- AI (NCT07918651)
- Volunteers
- 631 people, healthy volunteers welcome
- Sponsor
- Roshan Adel Ahmed Elsayed
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
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
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
AI (Artificial Intelligence), Mammary Cancer
Experiment on the Use of Innovative Computer Vision Technologies for Analysis of Medical Images in the Moscow Healthcare System
It is planned to integrate various services based on computer vision technologies for analysis of the certain type of x-ray study into Moscow Unified Radiological Information Service (hereinafter referred to as URIS).
- Conditions
- AI (Artificial Intelligence), Mammary Cancer, Lung Cancer, X-Rays; Lesion
- Trial name
- NCT04489992
- Where
- Russia
- Volunteers
- 133,000 people, healthy volunteers welcome
- Sponsor
- Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department
Lung Nodule
Evaluating the Real World Performance of an AI Based Lung Nodule Detection Tool
chest x-rays will be analyzed by AI software for a secondary read of lung nodules. Chest x-rays will either be sent to the AI tool to be read or to radiologists to read.
- Trial name
- NCT06597968
- Testing
- AI Based CAD Software (qXR-Ln)
- Where
- United States
- Volunteers
- 44,900 people
- Sponsor
- University Hospitals Cleveland Medical Center