An AI tool called Mia found missed breast cancer symptoms in the scans of 11 women during an NHS test.
An AI tool tested by an NHS hospital trust successfully identified tiny signs of breast cancer in 11 women which had been missed by human doctors.
Barbara was one of the 11 patients whose cancer was flagged by Mia but had not been spotted on her scan when it was studied by the hospital radiologists.Because her 6mm tumour was caught so early she had an operation but only needed five days of radiotherapy. Breast cancer patients with tumours which are smaller than 15mm when discovered have a 90% survival rate over the following five years.
Because it works instantly, tools like Mia also have the potential to reduce the waiting time for results from 14 days down to three, claims its developer Kheiron. AI tools are generally pretty good at spotting symptoms of a specific disease, if they are trained on enough data to enable them to be identified. This means feeding the programme with as many different anonymised images of those symptoms as possible, from as diverse a range of people as possible.Sarah Kerruish, Chief Strategy Officer of Kheiron Medical
Breast cancer doctors look at around 5,000 breast scans per year on average, and can view 100 in a single session."You get disruptions, someone's coming in, someone's chatting in the background. There are lots of things that can probably throw you off your regular routine as well. And in those days when you have been distracted, you go, 'how on earth did I miss that?' It does happen.
The Mia trial is just one early test, by one product in one location. The University of Aberdeen independently validated the research, but the results of the evaluation have not yet been peer reviewed. The Royal College of Radiologists say the tech has potential.
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