AI Case Study

DeepMind aims to improve machine learning system to detect breast cancer from images with more diverse dataset

Google DeepMind has announced a 5-year partnership with which will grant them access to a more diverse dataset of mammograms for training their machine learning detection systems.

Industry

Healthcare

Healthcare Providers And Services

Project Overview

DeepMind has announced "it has been given access to mammograms from roughly 30,000 women that were taken at Jikei University Hospital in Tokyo, Japan between 2007 and 2018. It’ll use that data to refine its artificially intelligent (AI) breast cancer detection algorithms.

Over the course of the next five years, DeepMind researchers will review the 30,000 images, along with 3,500 images from magnetic resonance imaging (MRI) scans and historical mammograms provided by the U.K.’s Optimam (an image database of over 80,000 scans extracted from the NHS’ National Breast Screening System), to investigate whether its AI systems can accurately spot signs of cancerous tissue."

Reported Results

Planned; results not yet available

Technology

Details not disclosed, machine learning techniques for image annotation/classification likely.

Function

Information Technology

Data Management

Background

The company currently is investigating machine learning methods to detect breast cancer from images like mammograms and MRIs and that "training DeepMind’s AI system on datasets from other countries would help mitigate algorithmic bias that might inadvertently crop up."

Benefits

Data

Over 80,000 historical mammograms from the UK's NHS, as well as 30,000 mammogram images and 3,500 MRI scans from Japan.