AI Assisted Detection of Chest X-Rays (AID-CXR)

NHS Trust

Status: Active, not recruiting

Conditions: Pulmonary Calcification; Cardiomegaly; Pneumothorax; Pulmonary Consolidation; Atelectasis; Pulmonary Nodules, Multiple; Pneumothorax; Acute; Fibrosis Lung; Pneumoperitoneum; Pleural Effusion; Pulmonary Nodules, Solitary; Pleural Effusions, Chronic

Treatments: Other: Cases reading; Other: Ground truthing

Study type: Observational

Funder types: Other

Identifiers

NCT06075836

310995 - B

Details and patient eligibility

About

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.

Enrollment: 33 patients

Sex: All

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• General radiologists/radiographers/physicians who review CXRs as part of their routine clinical practice

Exclusion criteria

• Thoracic radiologists
• 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

Trial design

33 participants in 2 patient groups

Readers/Participants

Description:

Reader Selection: 30 readers will be selected from the following five clinical specialty groups: * emergency medicine (ED) * adult intensive care (ICU) * adult general medicine (AGM) * radiographers (Rad) * general radiologists Each specialty group consists of 6 members of ranked seniority. For the physicians this consists of: * Two 'Juniors' (Foundation Year 1 - Specialty Training 2 years) * Two 'Middle Grades' (Registrar from Specialty Training 3 to 6 years) * Two Consultants For the radiographers, this consists of: * Two 'Junior/Newly qualified radiographers' (up to 18 months experience post qualification) * Two 'Mid-experience radiographers' (approx. 3 years' experience) * Two 'Reporting radiographers' (5+ years' experience)

Treatment:

Other: Cases reading

Ground truthers

Description:

Two consultant thoracic radiologists. A third senior thoracic radiologist's opinion (\>20 years experience) will undertake arbitration.

Treatment:

Other: Ground truthing