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Transcripts for BBCNEWS Click 20210813 01:41:00

those false positives. something that not only puts a lot of strain on the system, but also a lot of strain on the patients. it obviously causes quite a lot of distress to the woman being called back, and the majority of them turn out to be normal. it is a lot of work for us to be assessing all of these women for a relatively small number of cancers. and when a programme screens over 2 million people every year, these little percentages do matter. every year around 70,000 women are given a false positive result, and some never attend a screening again. fiona and her team have been testing an ai built by google health to see how the software compares to human radiologists. so in the retrospective study that was done, the algorithm performed better than some of the individual radiologists, and worse than other radiologists.

Transcripts for BBCNEWS Click 20210813 01:40:00

see there mia says callback, malignancy, because it s suspicious. its makers, kheiron medical, have been developing mia for over three years. here in nottingham, jonathan and his team have been testing mia on the hospital s historical data sets. these are women who have been to this clinic in the past and were diagnosed by a human. the aim is to see if mia would have made the same decisions. so this time, mia hasn t actually placed any mark on the image here, and its opinion is no recall is required. actually this lady did come back for some extra tests and this well defined mass, she had an ultrasound when she came back and this was a cyst, a perfectly harmless cyst. so i suppose the recall would be a false positive, this lady didn t actually need to come back. a false positive is when the reader thinks that there is cancer, but on further investigation it turns out that they were wrong. and over at the cambridge breast unit, professor fiona gilbert has been conducting research to try

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