Clinical trials: Artificial Intelligence in Radiology
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
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
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
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
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
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
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
Artificial Intelligence, Lung Diseases
Retrospective Study of Carebot AI CXR Performance in Preclinical Practice
The purpose of this study is to describe the design, methodology and evaluation of the preclinical test of Carebot AI CXR software, and to provide evidence that the investigated medical device meets user requirements in…
- Conditions
- Artificial Intelligence, Lung Diseases, Pneumothorax, Pleural Effusion
- Trial name
- NCT05594485
- Testing
- Carebot AI CXR
- Where
- Czechia
- Volunteers
- 127 people
- Sponsor
- Carebot s.r.o.
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
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
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
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
Respiratory Failure, Critical Illness
Combining Chest X-Ray and Arterial Blood Gas Findings to Predict Need for Mechanical Ventilation in Critically Ill Patients
This prospective cross-sectional study aims to develop and validate a machine learning model that combines chest X-ray findings with arterial blood gas (ABG) analysis to assess the necessity for mechanical ventilation in…
- Conditions
- Respiratory Failure, Critical Illness, Mechanical Ventilation
- Trial name
- NCT07001696
- Where
- Egypt
- Volunteers
- 2,160 people
- Sponsor
- Zagazig University
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
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
Endodontic Working Length Determination
AI-Based Working Length Determination in Curved Root Canals
This study tests whether artificial intelligence (AI) can accurately measure the length of curved root canals from dental x-rays.
- Trial name
- AI-CURL (NCT07787078)
- Volunteers
- 200 people
- Sponsor
- Alanya Alaaddin Keykubat 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
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
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
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