red dot ® Lung Cancer Detection Platform
Fast track the diagnosis of suspected lung cancer patients in just 30 seconds
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, describe the red dot ® Lung Cancer Detection Platform to Matt Whitty, CEO of Accelerated Access Collaborative.
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%.
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