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.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

AI-Based Technology for Ultrasound Image Analysis Receives FDA Approval

By MedImaging International staff writers
Posted on 17 Jul 2019
Print article
Image: A screenshot of the Koios DS Breast 2.0 AI-based software (Photo courtesy of Koios Medical).
Image: A screenshot of the Koios DS Breast 2.0 AI-based software (Photo courtesy of Koios Medical).
Koios Medical, Inc (Chicago, IL, USA), a developer of ultrasound diagnosis decision support software, has received 510(k) clearance from the US Food and Drug Administration for Koios DS (Decision Support) Breast 2.0, a new version of its machine learning based platform that assists physicians in the classification and diagnosis of breast cancer. The software offers a proprietary alignment to BI-RADS for any lesion analyzed and is available connected to PACS and/or directly on GE Healthcare's LOGIQ E10 ultrasound system.

Koios DS (Decision Support) Breast 2.0 is intended for use to assist physicians analyzing breast ultrasound images and aligns a machine learning generated probability of malignancy with the appropriate BI-RADS category. The patented software uses an ensemble of algorithms to aid the early detection of disease while also reducing biopsies of benign tissue. Koios DS Breast 2.0 can be used in conjunction with most major PACS platforms and is directly available on the LOGIQ E10, GE Healthcare's next generation digital ultrasound system that integrates artificial intelligence, cloud connectivity, and advanced algorithms to acquire and reconstruct data. Machine generated results can be exported directly into a patient's record.

In a recent reader study involving 15 physicians with relevant experience up to 39 years, each randomly analyzed 900 cases twice, separated by a one-month "washout period." Physicians utilizing the Koios DS 2.0 AI software experienced a statistically significant improvement in accuracy as measured by area under the ROC (receiver operating characteristic) curve (AUC), while simultaneously reducing both inter and intra-operator variability.

“We are seeing the promise of machine learning as a physician's assistant coming to fruition. This will undoubtedly improve quality, outcomes, and patient experiences—and ultimately save lives,” said Koios Medical CEO Chad McClennan. “Koios DS Breast 2.0 is proving that a system trained by hundreds of thousands of images linked to their ground truth can catch many more cancers earlier, while simultaneously reducing benign biopsies and all the anxiety, complications, and associated expense. Smart ultrasound is a second set of eyes that achieves what was previously unthinkable.”

Related Links:
Koios Medical
Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Ultrasound System
Acclarix AX9
Color Doppler Ultrasound System
DRE Crystal 4PX
New
Color Doppler Ultrasound System
KC20

Print article

Channels

Ultrasound

view channel
Image: The powerful machine learning algorithm can “interpret” echocardiogram images and assess key findings (Photo courtesy of 123RF)

Largest Model Trained On Echocardiography Images Assesses Heart Structure and Function

Foundation models represent an exciting frontier in generative artificial intelligence (AI), yet many lack the specialized medical data needed to make them applicable in healthcare settings.... Read more

Nuclear Medicine

view channel
Image: The multi-spectral optoacoustic tomography (MSOT) machine generates images of biological tissues (Photo courtesy of University of Missouri)

New Imaging Technique Monitors Inflammation Disorders without Radiation Exposure

Imaging inflammation using traditional radiological techniques presents significant challenges, including radiation exposure, poor image quality, high costs, and invasive procedures. Now, new contrast... Read more