A Re-think of medical imaging: how can AI help backlog in the NHS post COVID

Personally, I first identified the value of Artificial Intelligence when I worked on a research project at the Weizmann AI Center in Israel. While my project dealt with simulating the variable resolution of human vision, AI can indeed be applied much more broadly and in the context of COVID-related medical imaging. Unquestionably, images produced by X-rays, gamma cameras, ultrasound scanners, Magnetic Resonance Imaging, PET, thermography, and other devices yet to be invented are scanned by the skilled eye for diagnostic evidence resulting in treatment, prognosis and monitoring progress. All of these images will necessarily have information that is ignored by the trained eye as being irrelevant to what is being sought. Unquestionably, that unnecessary data slows down identification of those major diagnostic features that are being looked for.