Episode 12: Detecting Cancer with AI

Technology Today

Southwest Research Institute

Technology

4.8 • 19 Ratings

🗓️ 21 October 2019

⏱️ 31 minutes

🔗️ Recording | iTunes | RSS

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Summary

October is Breast Cancer Awareness Month. In this episode, we highlight an innovative technology for doctors treating patients with breast cancer. SwRI engineers and pathologists from UT Health San Antonio combined their expertise to develop a computer algorithm that quickly detects and analyzes breast cancer tumor cells on pathology images. The algorithm holds promise for faster, more accurate cancer detection, diagnosis and treatment. The team’s brilliant work is grabbing global attention. Listen now as we learn about potentially life-saving artificial intelligence.

Transcript

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0:00.0	Artificial intelligence or AI is showing promise in the fight against breast cancer.
0:06.4	October is National Breast Cancer Awareness Month, and today we are highlighting a computer
0:12.1	algorithm that detects breast cancer tumor cells. The technology could one day save lives.
0:19.2	It's AI for Your Health on this episode of Technology Today.
0:26.5	We live with technology, science, engineering, and the results of innovative research every day.
0:32.9	Now let's understand it better. You're listening to the Technology Today podcast presented by Southwest Research
0:39.5	Institute. Hello and welcome to technology today. I'm Lisa Benia. October is National Breast Cancer
0:46.4	Awareness Month. According to the National Cancer Institute, about one in eight women will develop
0:52.6	breast cancer over her lifetime.
0:55.0	Our guests today are experts in two different fields, but they combined their knowledge to develop a new and potentially life-saving technique to identify and analyze breast cancer tumor cells.
1:07.5	Dr. Bradley Brimhall is a pathologist from UT Health San Antonio, and David Chambers
1:12.5	is a Southwest Research Institute engineer. They are part of an innovative team that trained a
1:17.8	computer algorithm to sort through slides of tissue and recognize which ones were cancerous.
1:23.4	And their outstanding work won first place in an international competition.
1:29.0	Thanks for joining us, Brad and David.
1:30.9	Thanks.
1:31.4	Thank you.
1:32.0	So let's start with David.
1:34.0	Let's talk about this algorithm.
1:35.4	What exactly does it do?
1:36.6	Well, the algorithm is designed to provide an estimation of the cancer cellularity.
1:42.9	The cellularity is a particular way of quantifying
	...

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