An AI-enabled NHS lung cancer pathway can reduce patient CT wait times from weeks to minutes, free up valuable radiological resources, and save outsourcing costs by up to 70%.

Watch Simon Rasalingham, CEO of, describe the red dot ® Lung Cancer Detection Platform to Matt Whitty, CEO of Accelerated Access Collaborative.

Our red dot® platform can seamlessly integrate into the NHS lung cancer pathway

Speed up lung cancer diagnosis

CXRs identified as SLC are prioritised for hot-reporting and patient is fast-tracked for a same-day or next day CT Chest examination.

Increase radiology capacity

CXRs identified as HCN (normal with a very high degree of confidence) are autonomously reported, reducing radiology workload and reliance on outsourcing.

How does our red dot® Chest X-Ray solution perform?


saving in radiologist workload

15% of CXRs auto-reported as normal, instantly removing them from the reporting workload


reduction in outsourcing costs

Our AI rule-out normal algorithm can reduce outsourcing costs by up to 70%


Error rate reporting CXRs as Normal

compared to 13.5% for consultant radiologists


reduction in missed lung cancer cases

when implementing red dot® triage alongside consultant radiologists

Our evidence

“Diagnosis of normal chest X-rays using an autonomous deep learning algorithm” published in Clinical Radiology: We demonstrated that red dot® was capable of auto-reporting 15% of all CXRs as normal with an error rate of just 0.33%. This is compared to an average error rate of 13.5% for consultant radiologists.

“Augmenting lung cancer diagnosis on chest radiographs: positioning artificial intelligence to improve radiologist performance” published in Clinical Radiology: We demonstrated that in a tumour-enriched dataset implementing red dot® triage alongside consultant radiologists resulted in an overall reduction of missed lung cancer by 60%.

Read our case studies

The clinical need for red dot® is clear...

Leading cause of death worldwide

fatalities every year – lung cancer is the leading cause of cancer-related deaths worldwide

Biggest in the UK

cause of cancer-related deaths in the UK but second most common malignancy

Long waiting list

patients estimated in the UK waiting 11 days or more for a report on imaging studies

An AI enabled pathway not only significantly reduces time to treatment but also reduces costs and increases radiological resources


saved per year

on outsourcing costs



of reporting time put back into the NHS through the delivery of HCN flags – the equivalent of 19 consultant radiologists


CTH scans identified as normal

Patients who have no acute clinical abnormality, with an NPV of 93%, and remove >60.65% of all CTH scans from the reporting workload.

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