Elgin Radiologist Uses AI to Detect Lung Cancer Early

Dr. Struan Wilkie, a consultant radiologist at Dr Gray’s Hospital in Elgin, is revolutionizing the early detection of lung cancer through the integration of artificial intelligence (AI) into radiological practices. This innovative approach aims to identify the disease at a stage when treatment can significantly improve outcomes, addressing a critical challenge within the National Health Service (NHS) Grampian.

Wilkie’s journey into medicine was influenced by his early exposure to computing via the BBC Micro, a computer introduced in UK schools during the 1980s. He recalls, “My first introduction to computing was the BBC. I’ve always had an interest in computing, and that’s probably why I wanted to merge the medical and computing sides together to make people’s lives better.” This passion has culminated in his current work, where he leads efforts to enhance lung cancer detection, a disease that remains the leading cause of cancer-related deaths in Scotland.

NHS Grampian reviews approximately 70,000 chest X-rays annually, which translates to about 300 X-rays per day. The challenge is to identify signs of lung cancer among these images, often referred to as finding “needles in a haystack.” By implementing AI to prioritize X-rays that show concerning signs, Wilkie and his team have made strides in reducing waiting times for patients and alleviating the workload on radiology departments.

Transforming Lung Cancer Detection with AI

The introduction of AI tools has already yielded promising results in improving patient care. Under Wilkie’s guidance, chest X-rays flagged with urgent cancer suspicions can now be reported within 24 hours, significantly shortening the initial phase of diagnosis. “The earlier you find it, the more options there are for treatment,” he emphasizes, highlighting the importance of early detection.

Despite the positive outcomes, incorporating AI into everyday clinical practices was not without challenges. The transition from research trials to practical use took over a year, involving extensive governance checks, alignment of IT systems, and collaboration among various organizations that historically operated independently. Wilkie notes that staff apprehensions regarding AI’s role in the NHS required careful management. “I think we have moved away from the ‘Oh, you’re replacing us all’,” he explains. Instead, he advocates for AI as a tool designed to support staff by streamlining processes rather than replacing human roles. “At no point is the AI running autonomously,” he clarifies. “It’s a prioritization tool—a way of making sure the patients who need attention most urgently are seen first.”

The Future of Radiology and AI Integration

Wilkie likens the potential impact of AI to significant past technological advancements in radiology, such as the transition from X-ray to CT imaging. This shift established Aberdeen Royal Infirmary as a leader in advanced imaging techniques. He believes that AI represents the next evolution in healthcare, poised to address some of the NHS’s future challenges.

The long-term implications of these advancements could reshape patient care for lung cancer and beyond. As Wilkie reflects on his journey from a child fascinated by technology to a leader in medical innovation, he acknowledges the unexpected personal impacts of his early interests. “I’m currently enjoying all the retro games,” he shares, humorously adding that his wife was surprised to discover their value.

Dr. Struan Wilkie’s work exemplifies how the intersection of technology and medicine can lead to significant improvements in patient outcomes, particularly in the fight against lung cancer. As the NHS continues to explore the integration of AI, the hope is that these technological advancements will pave the way for more effective and timely interventions in healthcare.