NCT06075836Completed
AI Assisted Detection of Chest X-Rays
Utility of an AI-based CXR Interpretation Tool in Assisting Diagnostic Accuracy, Speed, and Confidence of Healthcare Professionals: a Study Using 500 Retrospectively Collected Inpatient and Emergency Department CXRs From Two UK Hospital Trusts
Source: ClinicalTrials.gov · Last updated 24 Nov 2025
Brief summary (registry, in English)
This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838). The Lunit INSIGHT CXR is a validation study that aims to assess the utility of an Artificial Intelligence-based (AI) chest X-ray (CXR) interpretation tool in assisting the diagnostic accuracy, speed, and confidence of a varied group of healthcare professionals. The study will be conducted using 500 retrospectively collected inpatient and emergency department CXRs from two United Kingdom (UK) hospital trusts. Two fellowship trained thoracic radiologists will independently review all studies to establish the ground truth reference standard. The Lunit INSIGHT CXR tool will be used to analyze each CXR, and its performance will be measured against the expert readers. The study will evaluate the utility of the algorithm in improving reader accuracy and confidence as measured by sensitivity, specificity, positive predictive value, and negative predictive value. The study will measure the performance of the algorithm against ten abnormal findings, including pulmonary nodules/mass, consolidation, pneumothorax, atelectasis, calcification, cardiomegaly, fibrosis, mediastinal widening, pleural effusion, and pneumoperitoneum. The study will involve readers from various clinical professional groups with and without the assistance of Lunit INSIGHT CXR. The study will provide evidence on the impact of AI algorithms in assisting healthcare professionals such as emergency medicine and general medicine physicians who regularly review images in their daily practice.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 33 (actual)
- First submitted
- 4 Oct 2023
- Start date
- 31 Oct 2023
- Primary completion date
- 31 Oct 2024
- Lead sponsor
- Oxford University Hospitals NHS Trust
- NCT number
- NCT06075836
What you commit to
- Study type: Observational
- Participants enrolled: 33
- From 31 Oct 2023 to the primary completion date, 31 Oct 2024
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Non-radiology physicians with previous formal postgraduate CXR reporting training.
- Non-radiology physicians with previous career in radiology, respiratory medicine or thoracic surgery to registrar or consultant level
Other
- Thoracic radiologists
Who the study is looking for
- General radiologists/radiographers/physicians who review CXRs as part of their routine clinical practice
Sex: All · Accepts healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Oxford University Hospitals NHS Foundation Trust Coordinator of this site? Confirm its status | Oxford | United Kingdom | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.