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New AI program detects breast cancer better than specialists

If clinical trials succeed, it will improve breast cancer screening accuracy and efficiency

01-Jan-2020

Key points from article :

AI outperformed experts by detecting cancers that radiologists missed in the images.

Analyses mammograms in three ways, combines results to produce overall risk score.

Program was trained on mammograms from >76,000 women in UK, 15,000 women in US.

Results suggest AI could boost quality of breast cancer screening in the US.

Will maintain same level in the UK, with AI assisting/replacing the second radiologist.

AI system will act as a second pair of eyes and a safety net.

Research by Google Health published in Nature.

Mentioned in this article:

Click on resource name for more details.

Chris Kelly

Health AI research scientist at Google Health, Pedriatric Doctor

Dominic King

Honorary Senior Lecturer at the Imperial College London

Michelle Mitchell

Chief Executive of Cancer Research UK

Nature

Scientific journal covering research from a variety of academic disciplines, mostly in science and technology

NHS

UK National Health Service, publicly funded healthcare system in England

Royal College of Radiologists (RCR)

Leads, educates and supports doctors who are training and working in the specialties of clinical oncology and clinical radiology..

Topics mentioned on this page:
AI in Healthcare, Cancer