A major new investment in artificial intelligence (AI) across the NHS has been announced following a high-profile visit by Health and Social Care Secretary James Murray to Wythenshawe Hospital, where clinicians are already using advanced technology to accelerate diagnosis and improve patient outcomes.
During his tour of the hospital’s radiology department, the Secretary of State met frontline staff and patients before confirming a near £30 million funding boost designed to expand the use of AI tools across the health service. The move signals growing confidence in AI’s role in supporting clinical decision-making and easing pressure on stretched diagnostic services.
Murray described AI technologies as a “second pair of eyes” for radiologists, highlighting their ability to deliver quicker diagnoses and faster access to treatment – key priorities for NHS leaders tackling waiting list backlogs.
The visit also put a spotlight on the tangible benefits of AI-enabled care, particularly through the experience of patient Peter Allinson. He explained to the Health Secretary how a rapid, AI-supported diagnosis at Wythenshawe Hospital had “given him his life back”.
A retired engineer who spent his career working on dam construction projects, Peter took up hill walking after retirement to maintain his fitness. However, late last year he began experiencing breathlessness while hiking, followed by vision problems.
With a history of smoking, he feared the symptoms could indicate lung cancer. After seeking urgent help at an Eye Hospital, he was referred for an X-ray at Wythenshawe – where clinicians quickly identified the true cause.
Instead of cancer, Peter was diagnosed with sarcoidosis, a rare inflammatory condition affecting the lungs, eyes and other organs. Crucially, treatment was able to begin almost immediately, with further tests completed within two weeks to confirm the full extent of the illness.
Peter’s case was identified with the support of the Harrison AI chest X-ray system, which is designed to help radiologists analyse images more rapidly and flag potential abnormalities for closer review.
Dr Anna Sharman, Consultant Thoracic Radiologist at Wythenshawe Hospital, who diagnosed Peter, said:
“When Peter came in, his symptoms were understandably concerning, particularly given his history, and it was important we were able to assess him quickly and confidently.
“Using the Harrison AI system alongside our clinical expertise meant we could review his X-ray promptly, identify the cause of his symptoms and begin treatment without delay.
“This technology acts as a valuable second set of eyes, helping us to prioritise patients and spot a wide range of conditions earlier. In Peter’s case, that speed and clarity helped turn a very frightening experience into a positive outcome.”
The success at Wythenshawe reflects a wider regional push to embed AI into diagnostic pathways. The Harrison AI technology was rolled out across Greater Manchester in November 2024, with seven NHS trusts adopting the system.
The initiative is part of a collaboration between Greater Manchester Cancer Alliance, the Greater Manchester Imaging Network and global health technology firm Harrison.ai. Since its introduction, teams at Wythenshawe have been using the technology to support the analysis of thousands of chest X-rays each month.
For NHS leaders, the case reinforces the growing evidence that AI can support earlier detection, improve productivity, and enhance clinical confidence – without replacing the expertise of experienced clinicians.
The £30 million investment signals a clear strategic direction:
- Accelerated diagnostics: AI is expected to play a central role in reducing diagnostic waiting times.
- Workforce support: Acting as a “second reader,” AI tools can help alleviate pressure on radiology teams.
- Patient outcomes: Earlier detection can lead to faster treatment and improved recovery rates.
- Scalability: Regional successes, such as Greater Manchester’s rollout, provide a blueprint for national adoption.
As NHS organisations continue to balance rising demand with limited resources, AI-enabled diagnostics are likely to become an increasingly vital component of service delivery and transformation plans.
Image credit: iStock
