AI boosts chest X-Ray reading in UK hospital study

NCT ID NCT06075836

Completed Knowledge-focused Sponsor: Oxford University Hospitals NHS Trust Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested whether an AI tool called Lunit INSIGHT CXR helps healthcare professionals read chest X-rays more accurately and quickly. Thirty doctors and radiographers reviewed 500 past chest X-rays from two UK hospitals, once with and once without AI help. The goal was to see if the AI improved their ability to spot problems like lung nodules, pneumonia, or collapsed lungs.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Lunit INSIGHT CXR (AI software)
What this could lead to: If successful, this could show that AI assistance improves how doctors and other staff interpret chest X-rays, potentially leading to faster and more accurate diagnoses in emergency and hospital settings.
What could go wrong: This is a small, retrospective study with 30 readers and 500 X-rays, so results may not apply to all hospitals or real-time use. The AI tool may not improve accuracy for all conditions or users.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Bronchiolitis Obliterans Syndrome calcinosis Cardiomegaly middle lobe syndrome Multiple Pulmonary Nodules Pleural Effusion Pneumoperitoneum pneumothorax Pulmonary Atelectasis pulmonary coin lesion pulmonary fibrosis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ATELECTASIS CARDIOMEGALY FIBROSIS LUNG PLEURAL EFFUSION PLEURAL EFFUSIONS, CHRONIC PNEUMOPERITONEUM PNEUMOTHORAX PNEUMOTHORAX; ACUTE PULMONARY CALCIFICATION PULMONARY CONSOLIDATION PULMONARY NODULES, MULTIPLE PULMONARY NODULES, SOLITARY

Contacts and locations

Locations

Oxford University Hospitals NHS Foundation Trust

Oxford, Oxfordshire, OX3 9DU, United Kingdom

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