The UK government has announced a major expansion of artificial intelligence tools to accelerate cancer diagnoses for millions of NHS patients. The Department of Health will allocate £20 million to deploy AI analysis of chest X-rays across every NHS trust in England by 2029, up from roughly half of trusts currently using the technology.
Pilot programs and funding
An additional £8 million pilot will be launched across 13 NHS organisations to explore how AI can speed up care for heart failure, strokes, lung cancer and other conditions. According to officials, over four million patients have already received faster lung cancer diagnoses or all-clears thanks to AI, which acts as a 'second pair of eyes' for radiologists.
Faster results
Government data from 25 trusts shows the technology reduces scan analysis time to an average of four days, compared to eight days for complex cases previously. Health and Social Care Secretary James Murray stated: 'For too many patients, a cancer diagnosis tragically comes too late. These AI tools are already changing that – giving radiologists a sharper eye, cutting waiting times, and getting people life-saving treatment faster.'
Ian Murray, minister for digital government, added: 'AI is not a future promise – it is already saving lives in our NHS today. For someone waiting to find out whether a shadow on their lung could be cancer, getting that answer in four days instead of eight means four fewer days of uncertainty.'
Expert and patient reactions
Paula Chadwick, chief executive of the Roy Castle Lung Cancer Foundation, welcomed the announcement, noting that in lung cancer the technology ensures faster X-ray reporting and diagnosis, reducing anxiety and improving outcomes. Michelle Mitchell, chief executive of Cancer Research UK, said: 'We welcome this investment in cutting edge technology at a national level. It's important to move beyond pilots and implement innovations more broadly.'
Dr Stephen Harden, president of the Royal College of Radiologists, emphasised that AI should support doctors, not replace them: 'Radiologists will remain central to diagnosis, clinical decision-making, and patient care. Used safely and appropriately, AI can improve productivity and help patients access timely care.'
Peter Allinson, a 59-year-old hill walker from Manchester, was diagnosed with sarcoidosis within two weeks after collapsing during a hike. He said: 'When I collapsed on that hillside, I genuinely thought my life was over. To go from that terrifying moment to having a diagnosis and being on treatment within two weeks was just remarkable. The speed of the diagnosis made a real difference – I feel like I've been given my life back.'
