Chest X-ray interpretation tools like qXR can help prioritise potential lung cancer patients, ensuring they are fast-tracked for CT scans. We work with Qure to evaluate AI's role across Greater Manchester and how it can help meet the NHS's recommended guidelines for lung cancer diagnosis.

qXR's prospective impact is remarkable as it has the potential to detect early-stage lung cancer solely through a chest X-ray. Successfully identifying even one patient with early-stage lung cancer who would have otherwise been missed would demonstrate qXR's immense potential. Hacettepe University's collaboration with Qure is an extraordinary opportunity to adopt qXR in hospitals nationwide.

Since the recent updates we implemented together, qER has become more efficient for us - there are fewer false negatives and false positives. Therefore, I am really glad, because qER is a strong tool to assist my residents, especially during nightshift.

qXR can pick up lung abnormalities even without obvious symptoms being present. I have at least 30-40 patients on a busy day in my clinic. It is reassuring to have qXR to ensure I don’t miss any suspected lung condition. qXR also shows me the exact area the critical finding has been detected.