We worked with the NHS to explore how artificial intelligence (AI) could help radiologists quickly compare and assess computerised tomography (CT) scans to enable quicker diagnoses and improve patient outcomes. Radiologists at George Eliot Hospital NHS Trust, which serves more than 300,000 people across Warwickshire, Leicestershire and Coventry, perform around 60 scans each day. Many of these are related to cancer, and in most cases a comparison with a previous scan is necessary to assess lesion growth or shape changes. This manual alignment and comparison is labour intensive, but no suitable automation tools exist. Automating this process and improving alignment and overlay of scans would enable slight changes in volume or new lesions to be picked up more quickly. This includes a report guiding radiologists to review or further evaluate particular regions.

Health Fidelity's chief architect Raj Tiwari and Cognoa CEO Brent Vaughn both believe that AI and machine learning are augmentative tools. They emphasized that size matters among data sets, real world applicability is a must and the tools (AI) must be trained and validated. Tiwari said, "AI is a tool that enhances our capability, allowing humans to do more than what we could on our own. It's designed to augment human insight, not replace it. For example, a doctor can use AI to access the distilled expertise of hundreds of clinicians for the best possible course of action. This is far more than he or she could ever do by getting a second or third opinion."