Clinical trials: Radiography, Thoracic
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
Covid19
Evaluation of a COVID-19 Pneumonia CXR AI Detection Algorithm
This study investigates the diagnostic performance of an AI algorithm in the detection of COVID-19 pneumonia on chest radiographs.
- Trial name
- NCT04561024
- Testing
- AI model
- Where
- Hong Kong
- Volunteers
- 4,000 people, healthy volunteers welcome
- Sponsor
- Ensemble Group Holdings, LLC
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
Behavior, Process, Acceptance
Implementation of Ultrasound Guided Central Venous Catheter Confirmation Protocol
The bedside use of ultrasound after central venous catheter (CVCs) insertion has lagged behind other applications in medicine, thus presenting an opportunity for innovative, evidence-based research that will influence clinician…
- Conditions
- Behavior, Process, Acceptance, Inertia of Accommodation
- Trial name
- DRAUP (NCT04324762)
- Testing
- targetted implementation strategies
- Where
- United States
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Washington University School of Medicine
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
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
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
Pulmonary Hypertension, Pulmonary Arterial Hypertension
Artificial Intelligence-assisted Evaluation of Pulmonary HYpertension
Pulmonary hypertension represents a challenging and heterogeneous condition that is associated with high mortality and morbidity if left untreated.
- Trial name
- AIPHY (NCT05566002)
- Testing
- Right heart catheterization
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Chinese Pulmonary Vascular Disease Research Group
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
Diagnostic Imaging, Eye Tracking
AI Timing in Chest X-ray Interpretation Using Eye-Tracking
Chest X-rays are commonly used to help diagnose and manage chest conditions. Artificial intelligence (AI) tools are increasingly being used to support chest X-ray interpretation.
- Conditions
- Diagnostic Imaging, Eye Tracking, Artificial Intelligence (AI)
- Trial name
- CREAITED (NCT07675694)
- Testing
- Original CXR First Timing, AI Output First Timing
- Where
- United Kingdom
- Volunteers
- 24 people, healthy volunteers welcome
- Sponsor
- University Hospitals, Leicester
Pneumonia
Screening for Pneumonia: A Comparison of Ultra Low Dose Chest CT [ULD-CT] and Conventional Chest Radiography [CXR]
The ULTRACHEST study will be a prospective clinical diagnostic performance study with primary objective to establish device diagnostic clinical performance of Ultra Low Dose CT (ULD-CT) in order to prove it is more accurate in…
- Trial name
- ULTRACHEST (NCT03140163)
- Testing
- ULD-CT, CXR
- Where
- Netherlands
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Maastricht University Medical Center
Long Covid19
Diaphragm Dysfunction After COVID-19 as Determined by Dynamic Chest Radiography
Dynamic chest radiography (DCR) is a rapid and easily performed technique that captures real-time continuous images of the moving chest.
- Trial name
- DD-COVID-19 (NCT06175455)
- Testing
- dynamic chest radiography
- Where
- China
- Volunteers
- 24 people, healthy volunteers welcome
- Sponsor
- Nanfang Hospital, Southern Medical University
Thoracic Diseases
A Clinical Study of TRUVIEW ART™(Advanced Reconstruction Tech)to Improve Image Quality on Chest Radiograph
To validate the following theory: "With TRUVIEW ART™ applied a detector's quantitative performance index, MTF(Modulation Transfer Function), is increased 20% or more".
- Trial name
- ART (NCT02971917)
- Testing
- Chest x-ray image acquisition, Creation of TRUVIEW ART applied image, Comparison of TRUVIEW ART image with original image
- Where
- South Korea
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Seoul National University Hospital
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
COVID-19 (Coronavirus Disease 2019), COVID-19 Pneumonia
Convolutional Neural Network Model to Detect Coronavirus Disease 2019 (COVID-19) Pneumonia in Chest Radiographs
This study aims to design a Convolutional Neural Network (CNN) and apply an attention model to help differentiate pneumonia due to Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), pneumonia due to other…
- Trial name
- RedNeumon (NCT05722665)
- Testing
- Categorization of chest xrays images
- Where
- Colombia
- Volunteers
- 3,599 people, healthy volunteers welcome
- Sponsor
- Fundacion Clinica Valle del Lili
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
Pulmonary Diseases, Respiratory Disease
Prospective Multicenter Screening for Thoracic Disease Via Radiography
This multicenter, prospective study aims to evaluate the real-world clinical utility of chest X-ray (CXR) for large-scale thoracic disease screening.
- Conditions
- Pulmonary Diseases, Respiratory Disease, Esophageal Diseases
- Trial name
- PROMPT (NCT07585214)
- Where
- China
- Volunteers
- 300,000 people, healthy volunteers welcome
- Sponsor
- Chinese Academy of Sciences
Lung Cancer, Tuberculosis (TB)
Effectiveness of Chat-based Mobile Application for Consultation (Zalo) in Improving Compliance With Follow-up Tests After Abnormal Chest X-ray Findings Interpret by Artificial Intelligent
The study titled "Effectiveness of Chat-based Mobile Application for Consultation (Zalo) in Improving Compliance with Follow-up Tests after Abnormal Chest X-ray Findings Interpreted by Artificial Intelligence" aims to evaluate…
- Conditions
- Lung Cancer, Tuberculosis (TB), Chat-based Mobile Application, Compliance Behavior
- Trial name
- NCT07234929
- Testing
- chat-based mobile application (Zalo)
- Where
- Vietnam
- Volunteers
- 2,692 people, healthy volunteers welcome
- Sponsor
- Gia Dinh People Hospital
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
Cancer, Lung, Cancer Liver
PixelShine vs. Iterative Reconstruction (IR) Processing of CT Images
This study will compare the quality of CT images acquired with very low-dose radiation and processed with commercially available software vs. PixelShine processed images.
- Conditions
- Cancer, Lung, Cancer Liver, X-rays; Effects
- Trial name
- NCT03033615
- Testing
- PixelShine, Conventional processing
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- AlgoMedica, Inc.