Clinical trials: Chest X-ray for Clinical Evaluation
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
Lung Protective Ventilation, Cardiopulmonary Bypass
Unilateral Ventilation on Cardiopulmonary Bypass During Cardiac Surgery
This study investigates if single lung ventilation on cardiopulmonary bypass can mitigate postoperative lung water accumulation determined by lung ultrasound in the ventilated lung as compared to the non-ventilated lung in…
- Conditions
- Lung Protective Ventilation, Cardiopulmonary Bypass, High-risk Cardiac Patients, Lung Ultrasound
- Trial name
- NCT07612709
- Testing
- Ventilated lung, Non-ventilated lung.
- Where
- Austria
- Volunteers
- 45 people
- Sponsor
- Medical University of Vienna
Congenital Heart Disease, Chest X-ray for Clinical Evaluation
Chest X-Rays for Early Detection of Congenital Heart Disease in Newborns
Congenital heart disease (CHD) is a common condition affecting newborns that can be serious if not caught early. While echocardiograms are the best way to diagnose CHD, they are not always immediately available.
- Conditions
- Congenital Heart Disease, Chest X-ray for Clinical Evaluation, Neonates
- Trial name
- NCT07520149
- Volunteers
- 60 people
- Sponsor
- Assiut University
Chest X-ray for Clinical Evaluation
X-ray Assisted Diagnostic System
X-ray examination is one of the most commonly used imaging modalities, especially chest X-ray, which is routinely performed for hospitalized patients.
- Trial name
- NCT07497243
- Testing
- AI-assisted radiologist diagnostic group, Radiologist diagnostic group
- Where
- 4 sites in China
- Volunteers
- 16,000 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Kawasaki Disease, Chest X-ray for Clinical Evaluation
Clinical Study on an Artificial Intelligence-Assisted Chest Radiograph Model Based on Big Data and Deep Learning for Early Detection of Kawasaki Disease
The goal of this observational study is to develop an AI-based early warning system for Kawasaki Disease (KD) using chest X-rays (CXR) in children diagnosed with Kawasaki Disease. The main question[s] it aims to answer are: 1.
- Conditions
- Kawasaki Disease, Chest X-ray for Clinical Evaluation, Mucocutaneous Lymph Node Syndrome
- Trial name
- NCT07405658
- Testing
- AI-Based Early Warning System for Kawasaki Disease
- Where
- China
- Volunteers
- 20,000 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Radiology, Artificial Intellegence
Chest X-Ray Image Diagnosis and Report Generation Dedicated Model Based on Deepseek
The global shortage of radiologists is a pressing issue, particularly in regions with limited medical resources. Against this backdrop, making report generation the core objective of radiology AI systems not only aligns with the…
- Conditions
- Radiology, Artificial Intellegence, Large Language Model, Chest X-ray for Clinical Evaluation
- Trial name
- NCT06874647
- Testing
- AI-generated report for reference
- Where
- 3 sites in China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Chest X-ray for Clinical Evaluation
Feasibility of AI-based Heart Function Prediction Model Using CXR
The investigators will develop an artificial intelligence model to predict left ventricular ejection fraction using chest radiographic images and transthoracic echocardiography data.
- Trial name
- AI-CXR (NCT04996381)
- Testing
- Scanning Chest X-rays and performing AI algorithms on images
- Where
- South Korea
- Volunteers
- 505 people
- Sponsor
- Yonsei University
Chest X-ray for Clinical Evaluation
Validation of a New Post Image Processing Engine (S-Vue™) for the Reduction of Ionizing Radiation Dose on X-ray Examination in Pediatric Patients
The purpose of this study is to compare X-ray images obtained using the GM85 digital radiography machine at the standard full dose to X-ray images obtained using the GM85 digital radiography machine along with the Samsung S-Vue…
- Trial name
- NCT03935737
- Testing
- Full Dose Chest X-Ray, Low Dose Chest X-Ray
- Where
- United States
- Volunteers
- 40 people
- Sponsor
- The University of Texas Health Science Center, Houston