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NHS England to trial AI and robotic tools to detect and diagnose lung cancer
Pilot comes at same time as pledge to offer all smokers and ex-smokers lung cancer screening by 2030 NHS England is to trial a combination of AI and robot-assisted care to speed up the detection and diagnosis of lung cancer, the UK's most lethal form of the disease. The trial comes at the same
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Lung cancer: 'Trailblazing' NHS scheme hailed as a 'glimpse of the future'
Under the pilot scheme, AI software will be used to analyse lung scans and flag suspicious spots, before a robotic catheter takes precise biopsies, which are then checked in a lab to diagnose or rule out cancer. AI and robotics are to be used to help detect lung cancer in a "trailblazing" scheme
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NHS England is trialing AI software and robotic tools to speed up lung cancer detection and diagnosis at Guy's and St Thomas' NHS trust in London. The pilot aims to identify cancerous nodules as small as 6mm and deliver precise biopsies in a single half-hour procedure, potentially replacing weeks of invasive testing for patients.
NHS England has launched a pilot scheme combining AI software and robotic tools to detect and diagnose lung cancer more rapidly, targeting the UK's deadliest cancer that claims 33,100 lives annually
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. The trial at Guy's and St Thomas' NHS trust in London represents what Prof Peter Johnson, NHS England's national clinical director for cancer, calls "a glimpse of the future of cancer detection"1
. This initiative arrives alongside the NHS pledge to offer lung cancer screening to all smokers and ex-smokers by 2030, an expansion expected to identify 50,000 lung cancers by 2035, with 23,000 caught at early stage diagnosis1
.The NHS pilot scheme deploys AI to analyze lung scans and flag suspicious nodules, some as small as 6mm—roughly the size of a grain of rice
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. Once identified, a robotic catheter inserted via the throat guides miniature tools to perform precise biopsies directly from these spots, which are often hidden deep within the lung and difficult to reach using conventional methods2
. The tissue samples are then analyzed in a laboratory to confirm or rule out cancer. This approach could replace weeks of repeat scans and invasive testing with a single half-hour procedure, significantly reducing patient anxiety and avoiding more complex surgery1
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Source: Sky News
Specialists at Guy's and St Thomas' have already performed approximately 300 robotic biopsies, resulting in 215 patients receiving cancer treatment
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. The new pilot will extend this work to a further 250 patients, with hopes that other NHS trusts will adopt the procedure if proven effective2
. Lung cancer remains the third most common cancer in the UK, with more than 49,000 new diagnoses annually, and accounts for about 91 deaths per day2
. The disease disproportionately affects poorer communities, contributing to health inequalities that account for an entire year of the nine-year life expectancy gap between England's most and least deprived areas1
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Since 2019, more than 1.5 million people in England aged 55 to 74 who have ever smoked have been invited for lung health checks, with an additional 1.4 million people set to be contacted next year alone
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. Peter Johnson noted that screening is already picking up more cases at an early stage than ever before, and the new technology will support "faster, more accurate biopsies"2
. Michelle Mitchell, chief executive of Cancer Research UK, emphasized that "diagnosing it at an earlier stage can significantly improve people's survival chances," adding that tests to ensure these technologies are accurate should happen quickly so innovations can reach patients sooner1
. Health Secretary Wes Streeting, who underwent robotic surgery for kidney cancer, said the pilot will help catch the illness earlier, "replacing weeks of invasive testing with a single targeted procedure"2
. The technology's ability to identify cancerous tissue previously undetectable until much later stages could transform how the NHS approaches this cancer killer as screening programs expand nationwide.Summarized by
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