ScienceDaily: AI used to diagnose birth defects in fetal ultrasound images

Date:

Share post:


Researchers at the University of Ottawa’s Faculty of Medicine have pioneered the use of an Artificial Intelligence-based deep-learning model to assist in the accurate and rapid reading of ultrasound images.

The study’s purpose was to demonstrate deep-learning architecture that could be used to quickly and reliably identify cystic hygroma in the first trimester of ultrasound scans. Cystic Hygroma, an embryonic condition, causes the lymphatic system to develop abnormally. It is a rare condition that can cause fluid swelling of the neck and head.

The birth defect can usually be diagnosed prenatally with an ultrasound. But Dr. Walker, cofounder of The Ottawa Hospital’s OMNI Research Group, (Obstetrics, Maternal and Newborn Investigations), and his research team wanted to determine if AI-driven pattern detection could help.

“What we showed was that in the field ultrasound, we were able to use similar tools for image classifications and identification with high sensitivity and specificity,” Dr. Walker said. He believes the approach could also be applied to other fetal anomalies commonly identified using ultrasonography.

Story Source:

MaterialsProvided by University of Ottawa. Notice: Style and length may be changed.

LEAVE A REPLY

Please enter your comment!
Please enter your name here

spot_img

Related articles

The Benefits of a Creative Subscription with Envato Elements

If you’re looking to find and use royalty-free images and other creative resources, it can be tough to...

Get an Additional ₹100 Cashback When You Pay with Domino’s Digital Wallet Partners

How does ₹100 cashback sound? Find out more about the additional cashback you can get when you pay...

Get Unlimited Access to DataCamp’s Library of Online Courses

DataCamp subscriptions enable access to over 300 courses, as well as projects, assessments, and additional content. Whether you're...

Why You Should Buy from DaMENSCH: The Best in Quality, Service, and Value

Buying products online can be dangerous; you never know if you’re getting an authentic product, or one that’s...