How good is it?
The current system in the NHS uses two radiologists to analyse each woman's X-rays. In rare cases where they disagree, a 
third <a href="https://www.pinterest.co.kr/yeoja0983/%EB%A0%88%ED%94%8C%EB%A6%AC%EC%B9%B4%EC%82%AC%EC%
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In the research study, an AI model was given anonymised images, so that the women could not be identified.

Unlike the human experts, who had access to the patient's history, AI had only the mammograms to go on.

The results showed that the AI <a href="https://www.pinterest.co.kr/sinja486/%EB%AA%85%ED%92%88%EB%A0%88%ED%94%
8C%EB%A6%AC%EC%B9%B4-httpreplicamallme/" target="_blank">명품레플리카</a>=명품레플리카<br /> model was as good 
as the current double-reading system of two doctors.

And it was actually superior at spotting cancer than a single doctor.

Compared to one radiologist, there was a reduction of 1.2% in false positives, when a mammogram is incorrectly diagnosed 
<a href="https://www.pinterest.co.kr/sagwa2580/" target="_blank">여자레플리카신발</a>=여자레플리카신발<br /> as 
abnormal.

There was also a reduction of 2.7% in false negatives, where a cancer is missed.

Dominic King from Google Health said: "Our team is really proud of these research findings, which suggest that we are on our 
way <a href="https://sites.google.com/site/imiteisaimiteieoseogab/" target="_blank">이미테이션지갑</a>=이미테이션여성가방 
이미테이션남성지갑 이미테이션여성지갑<br /> to developing a tool that can help clinicians spot breast cancer with greater 
accuracy."

Most of the mammograms came from Cancer Research UK's OPTIMAM dataset collected from St George's Hospital London, 
the Jarvis Breast Centre in Guildford and Addenbrooke's Hospital, Cambridge.

It takes over a decade of training <a href="http://gsbrental.shop/shop/view.php?index_no=771" target="_blank">냉온정수기렌탈
스탠드형</a>=루헨스 냉온정수기렌탈 스탠드형믿음직스러운곳<br /> as a doctor and specialist to become a radiologist, 
capable of interpreting mammograms.

Reading X-rays is vital but time-consuming work, and there is an estimated shortage of more than 1,000 radiologists across 
the UK.