Clinical trials: Radiography, Thoracic
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
TB - Tuberculosis
Start Taking Action for Tuberculosis in Kids
Start4Kids: Evaluating the performance, feasibility, acceptability and cost effectiveness of computer-aided detection (CAD) of chest X-ray (CXR) and concurrent testing using novel diagnostics and non-sputum specimens for…
- Trial name
- Start4Kids (NCT07248423)
- Testing
- Xpert MTB/RIF Ultra, Truenat, MTB, Truenat MTB Plus
- Volunteers
- 7,920 people, healthy volunteers welcome
- Sponsor
- Liverpool School of Tropical Medicine
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
Pulmonary Disease
Study to Evaluate the Effectiveness of the Device in Detection of Abnormal Findings on Chest X-ray
This study aims to evaluate the effectiveness of the investigational device (Lunit INSIGHT CXR) in the detection of chest abnormalities
- Trial name
- NCT05614232
- Testing
- Chest X-ray
- Where
- South Korea
- Volunteers
- 700 people, healthy volunteers welcome
- Sponsor
- Lunit Inc.
Chest Trauma
Evaluating Validity of Clinical Criteria for Requesting Chest X-Rays in Trauma Patients
The purpose of this study is to identify the clinical criteria for requesting a chest x-ray in a patient with blunt trauma and its findings such as clinical signs with a high sensitivity could be used in a larger study to codify…
- Trial name
- NCT01134744
- Where
- 2 sites in Iran
- Volunteers
- 385 people, healthy volunteers welcome
- Sponsor
- Isfahan University of Medical Sciences
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
Chest Infection, Pulmonary Edema - Acute
Grasshopper: a Novel Clinical Dashboard for Radiologists
Does a radiology clinical dashboard increase radiologist use of specific reporting language for chest X-rays (CXRs) and thereby decrease rates of unnecessary Emergency Department (ED) prescriptions and follow-up imaging?
- Trial name
- Grasshopper (NCT06785246)
- Testing
- Grasshopper dashboard
- Where
- United States
- Volunteers
- 100,000 people, healthy volunteers welcome
- Sponsor
- Kaiser Permanente
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
Congenital Heart Disease (CHD), Structural Heart Disease
Artificial Intelligence-assisted Diagnosis
This study aims to investigate whether an AI-assisted decision support can improve the diagnosis of congenital heart diseases on Chest X-ray.
- Trial name
- AID (NCT06783933)
- Testing
- surgical or interventional validation
- Where
- China
- Volunteers
- 60,000 people, healthy volunteers welcome
- Sponsor
- China National Center for Cardiovascular Diseases
Using Expert Visual Search Strategy to Train Students to Read the Chest X-ray
Improving Search Strategy for Identifying Urgent Conditions on the Chest X-ray
Currently, teaching X-ray interpretation to medical students is not standardized, and is generally not very effective. Objective: The goal of our study is to evaluate whether directly teaching an expert search strategy for x-ray…
- Trial name
- NCT01883570
- Testing
- training in visual search strategy, access to a library of chest x-rays without search strategy
- Where
- Canada
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Université de Montréal
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
Tuberculosis, Pulmonary
Comparative Efficacy of CUS, CXR and CAD in TB Diagnosis in LMIC
Pulmonary Tuberculosis (TB) remains a significant global health concern, particularly in low- and middle-income countries (LMIC), where resources for healthcare are often limited.
- Trial name
- CUSTB (NCT06409780)
- Testing
- Comparative analysis of CUS, CAD and CXR in pulmonary TB
- Volunteers
- 136 people, healthy volunteers welcome
- Sponsor
- University of Bari
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
Pneumonia, Lung Cancer
Trial of Artificial Intelligence for Chest Radiography
Randomized Clinical Trial of the impact of Chest radiograph AI-assisted triage and report generation upon clinical outcomes and an economic analysis of impact of AI decision support on radiology service delivery.
- Trial name
- ACER (NCT06456203)
- Testing
- AI
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Duke-NUS Graduate Medical School
Pulmonary Disease
Study to Evaluate the Effectiveness of the Device in Detection of Abnormal Findings on X-ray
This study aims to evaluate the effectiveness of the investigational device (Lunit INSIGHT CXR) in the detection of chest abnormalities.
- Trial name
- NCT05619029
- Testing
- X-ray
- Where
- South Korea
- Volunteers
- 1,111 people, healthy volunteers welcome
- Sponsor
- Lunit Inc.
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
X-Ray, AI (Artificial Intelligence)
Clinical Application of Automated Interpretation System for Chest X-Ray Images Based on Multimodal Large Models
There's a global shortage of radiologists. Radiology AI's automatic reporting is key for boosting efficiency and meeting patient needs, especially in resource-poor areas.
- Conditions
- X-Ray, AI (Artificial Intelligence), Radiology
- Trial name
- NCT07117266
- Testing
- radiologists reference AI reports
- Where
- 3 sites in China
- Volunteers
- 296 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Coronavirus Disease 2019
Identify Coronavirus Disease by Chest X-ray
to identify the diagnostic accuracy of chest X-ray in diagnosis of Coronavirus disease19 .
- Trial name
- NCT05216471
- Testing
- chest X-ray
- Where
- Egypt
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- Assiut University