We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




AI Rapidly Identifies Rare, Life-Threatening Disorders from Ultrasound Scans

By MedImaging International staff writers
Posted on 20 Jul 2022
Image: Researchers used AI to diagnose birth defect in fetal ultrasound images (Photo courtesy of University of Ottawa)
Image: Researchers used AI to diagnose birth defect in fetal ultrasound images (Photo courtesy of University of Ottawa)

Cystic hygroma is an embryonic condition that causes the lymphatic vascular system to develop abnormally. It’s a rare and potentially life-threatening disorder that leads to fluid swelling around the head and neck. The birth defect can typically be easily diagnosed prenatally during an ultrasound appointment. Now, a new study has demonstrated that deep-learning architecture can help identify cystic hygroma from first trimester ultrasound scans.

In a new proof-of-concept study, researchers at the University of Ottawa (Ontario, Canada) are pioneering the use of a unique artificial intelligence-based deep learning model as an assistive tool for the rapid and accurate reading of ultrasound images. The goal of the team’s study was to demonstrate the potential for deep-learning architecture to support early and reliable identification of cystic hygroma from first trimester ultrasound scans. The researchers tested how well AI-driven pattern recognition could diagnose the birth defect prenatally using ultrasonography.

“What we demonstrated was in the field of ultrasound we’re able to use the same tools for image classification and identification with a high sensitivity and specificity,” said Dr. Mark Walker at the University of Ottawa’s Faculty of Medicine, who led the study and believes the approach could also be applied to other fetal anomalies generally identified by ultrasonography.

Related Links:
University of Ottawa 

Ultrasonic Pocket Doppler
SD1
New
Diagnostic Ultrasound System
DC-80A
X-Ray Illuminator
X-Ray Viewbox Illuminators
New
Breast Localization System
MAMMOREP LOOP

Channels

Nuclear Medicine

view channel
Image: The diagnostic tool could improve diagnosis and treatment decisions for patients with chronic lung infections (Photo courtesy of SNMMI)

Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections

Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.