A new artificial intelligence (AI) tool for lung cancer detection is set to be implemented across NHS hospitals in the North East and North Cumbria following successful national funding.

Ken Bremner MBE, Chair of the North East and North Cumbria Provider Collaborative, emphasized the tool's potential to expedite lung cancer treatment.

This AI technology is expected to enhance diagnostic accuracy by 45% and improve efficiency by 12%, serving as a valuable second opinion for clinicians.

The study contributes significantly to lung cancer detection accuracy, potentially saving lives through improved medical imaging analysis.

The authors developed a novel algorithm that integrates two deep neural networks, aiming to enhance early detection of lung cancer.

Results indicate that this advanced tumor tracking method significantly boosts accuracy and robustness across various clinical scenarios.

The study employed sophisticated data augmentation techniques using lung 4D CT images to strengthen the model's robustness.

Dr. Arunashis Sau noted that while ECGs are common and inexpensive, the AI's role is to identify individuals at higher risk for more detailed testing.

Key components of the approach include a hybrid deformable model for data augmentation and a CNN regression network for 3D tumor position estimation.

The AI tool will be rolled out across multiple NHS Trusts, including North Cumbria Integrated Care and Gateshead Health Foundation Trusts.

Research published in the Lancet Digital Health journal indicates that the AI tool accurately predicts a patient's 10-year death risk in 78% of cases.

Real-time tumor tracking (RTTT) offers a non-invasive alternative, enhancing patient comfort and treatment safety compared to traditional methods.