Emerging Technologies

Google has built a 'spell check' for breast cancer diagnosis

A Google sign is seen during the WAIC (World Artificial Intelligence Conference) in Shanghai, China, September 17, 2018. REUTERS/Aly Song - RC159620B230

Google used a de-identified dataset based on scans of breast cancer patients. Image: REUTERS/Aly Song

Lydia Ramsey
Editorial Intern, Business Insider Science
Our Impact
What's the World Economic Forum doing to accelerate action on Emerging Technologies?
The Big Picture
Explore and monitor how Global Health is affecting economies, industries and global issues
A hand holding a looking glass by a lake
Crowdsource Innovation
Get involved with our crowdsourced digital platform to deliver impact at scale
Stay up to date:

Global Health

Google is developing a tool to help doctors diagnose breast cancer using artificial intelligence.

The tool, known as LYmph Node Assistant, or LYNA, could one day act as a sort of "spell check" for pathologists, the doctors responsible for diagnosing cancer patients through images of their cells.

To train the algorithm, Google used a de-identified dataset based on scans of breast cancer patients' lymph nodes from medical centers in the Netherlands.

Tissue taken from the lymph nodes can be a way of detecting whether a patients' breast cancer has spread beyond the breasts. Pathologists then look at tissue samples from breast cancer patients' lymph nodes to get a sense of how much that particular patient's tumor has spread, and how aggressive the cancer might be.

On Friday, Google released two papers that were published in the journals Archives of Pathology and Laboratory Medicine and The American Journal of Surgical Pathology. The first paper set out to show that the algorithm could be used to pick up cancer cells on the tissue images it was presented. In addition to looking at the slides from the Netherlands, the algorithm also had to look at 108 slides from another laboratory.

The second paper, which stacked up how the algorithm performed with pathologists as well as on its own, found that it was important for pathologists and the algorithm to work in tandem. Both papers found that the algorithm could detect which slides had metastatic cancer and which ones didn't 99% of the time.

Have you read?

Think of it like spell-check on a computer. You might miss a word that's jumbled some of its letters or is missing an "e," but the algorithm can catch that. On the flip side, if there's a word you typed twice, the algorithm might not do as well catching the error.

What's interesting is that researchers found the pathologists who were given the tool performed better than both pathologists who didn't get the tool and the tool used on its own to pick up cancerous cells on an image.

Here's what the tool looks like for pathologists.

Image: Business Insider

"This represents a demonstration that people can work really well with AI algorithms than either one alone," Yun Liu, a member of the Google AI team and an author on the papers told Business Insider.

This isn't the first time Google's parent company Alphabet has applied artificial intelligence to healthcare. Through DeepMind, Alphabet's artificial intelligence company, it's been working to identify diseases by looking at images of patients' eyes.

And Google itself has been working on an algorithm to diagnose diabetic retinopathy,a type of eye disease found in patients with diabetes.

Next, the team will have to see how the algorithm works in the clinic — that is, when the algorithm is given new scans of breast cancer patients' lymph nodes. Should that go well, it could one day become part of the process doctors use to understand a patient's breast cancer diagnosis.

Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

Sign up for free

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Related topics:
Emerging TechnologiesHealth and Healthcare Systems
World Economic Forum logo
Global Agenda

The Agenda Weekly

A weekly update of the most important issues driving the global agenda

Subscribe today

You can unsubscribe at any time using the link in our emails. For more details, review our privacy policy.

Why developing countries should look to China to leapfrog into LLM markets

Winston Ma and CFA Esq.

June 17, 2024

About Us



Partners & Members

  • Join Us

Language Editions

Privacy Policy & Terms of Service

© 2024 World Economic Forum