AI system outperforms experts in spotting breast cancer

[nitpicker]

https://www.theguardian.com/society/2020/jan/01/ai-system-outperforms-experts-in-spotting-breast-cancer

AI system outperforms experts in spotting breast cancer

Ian Sample Science editor

Wed 1 Jan 2020 18.00 GMT Last modified on Thu 2 Jan 2020 00.35 GMT

An artificial intelligence program has been developed that is better at spotting breast cancer in mammograms than expert radiologists.

The AI outperformed the specialists by detecting cancers that the radiologists missed in the images, while ignoring features they falsely flagged as possible tumours.

If the program proves its worth in clinical trials, the software, developed by Google Health, could make breast screening more effective and ease the burden on health services such as the NHS where radiologists are in short supply.
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Google’s AI program analyses mammograms in three different ways before combing the results to produce an overall risk score. The scientists trained the program on mammograms from more than 76,000 women in the UK and 15,000 women in the US. To see how well it worked, they then asked it to assess nearly 30,000 new mammograms from UK and US women who either had biopsy-confirmed cancer, or no signs of cancer during follow-up at least a year later.

In the US, women who go for breast cancer screening tend to be seen every one or two years and their mammograms are examined by a single radiologist. When compared with the US system, the AI produced 5.7% fewer false positives and 9.4% fewer false negatives.

In the UK, women are screened less often, typically once every three years, but their mammograms are reviewed by two radiologists, and sometimes a third in case of disagreement. The AI performed only marginally better than the UK system, reducing false positives by 1.2% and false negatives by 2.7%.

The results suggest the AI could boost the quality of breast cancer screening in the US and maintain the same level in the UK, with the AI assisting or replacing the second radiologist.
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[Sherman A1]

1. AI is going to replace a lot of jobs

And ones that we never considered replaceable.