Artificial Intelligence Software Helps Diagnose Lung Cancer Receives Increased Government Funding

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New artificial intelligence software to help better diagnose lung cancer has received significant government funding.

Lung Cancer Prediction Software, Virtual Nodule Clinic (VNC), developed by addition, will be used as part of an iconic research project supported by AI Award in Health and Care £ 140 million from the NHS AI Lab.

Known as DOLCE, the project is being led by Professor David Baldwin, an honorary professor of medicine at the University of Nottingham and a medical consultant at the Nottingham University Hospitals NHS Trust. It will show how many CT scans, PET and biopsies keep VNC and how quickly the cancer diagnosis is confirmed.

If utility and safety are confirmed, the solution could be implemented nationwide.

“We are delighted to receive this award,” Professor Baldwin said. “This technology is really transformative and we’ve previously shown that this software can help us unload more people with lung nodules safely, reducing anxiety among patients waiting to repeat scans and also the need for potentially harmful testing. This is also very important for the NHS because it will reduce the pressure on radiology resources. “

The pioneering AI solution has already been shown to go beyond existing methods of predicting malignancy in nodules. Optellum’s team with Professor Baldwin will now work with 10 leading NHS hospitals to deploy the technology for clinical evaluation.

The NHS AI Lab is led by NHSX and is delivered in collaboration with Accelerated Access Collaborative and the National Institute for Health Research. The aim of the AI ​​in Health and Care award is to speed up AI testing and assessments in the NHS so that patients can benefit from a faster and more personalized diagnosis. It also aims to improve efficiency in screening services.

The award is a step towards ensuring that NHS patients can benefit from a previous diagnosis of lung cancer, the leading cause of cancer death.





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