News | Cardiovascular Ultrasound | June 20, 2019

Bay Labs Announces New Echocardiography Guidance Software Data at ASE 2019 Scientific Sessions

Results to be presented highlight deep-learning software utility in acquisition of diagnostic-quality echocardiograms by novice scanners

Bay Labs Announces New Echocardiography Guidance Software Data at ASE 2019 Scientific Sessions

June 20, 2019 — Bay Labs announced that new data on the company’s first-of-its-kind deep learning investigational guidance software will be presented at the upcoming American Society of Echocardiography (ASE) 30th Annual Scientific Sessions, June 21-25 in Portland, Ore.

Echocardiography is the most widely used cardiac imaging modality but access to echo in point-of-care settings is often limited because it requires specialized skills to perform. Bay Labs has developed guidance software that uses artificial intelligence (AI) to aid in the acquisition of echocardiograms. The Bay Labs technology is designed to provide both non-specialist and specialist healthcare providers with real-time guidance to obtain 10 standard echocardiographic views, and designed to be integrated into an ultrasound machine. First-time data will be presented which compares the diagnostic quality of echocardiograms obtained by registered nurses (RNs) with limited training using Bay Labs technology, to the images obtained by a trained cardiac sonographer. Bay Labs guidance software is for investigational use only and not for sale.

“Evaluation of a Deep-Learning Model Designed to Aid Novice Scanners in Obtaining Diagnostic Quality Echocardiograms” will be presented by Akhil Narang, M.D., of Northwestern Memorial Hospital.

For more information: www.baylabs.io

Related Content

At the American Association of Physicists in Medicine (AAPM) 2019 meeting, new artificial intelligence (AI) software to assist with radiotherapy treatment planning systems was highlighted. The goal of the AI-based systems is to save staff time, while still allowing clinicians to do the final patient review. 
Feature | Treatment Planning | July 08, 2020 | By Melinda Taschetta-Millane
At the American Association of Physicists in Medicine (AAPM) 201
 Many patients with severe coronavirus disease 2019 (COVID-19) remain unresponsive after surviving critical illness. Investigators led by a team at Massachusetts General Hospital (MGH) now describe a patient with severe COVID-19 who, despite prolonged unresponsiveness and structural brain abnormalities, demonstrated functionally intact brain connections and weeks later he recovered the ability to follow commands

Getty Images

News | Coronavirus (COVID-19) | July 08, 2020
July 8, 2020 — Many patients with severe coronavirus disease 2019 (...
Hologic, Inc. announced he U.S. launch of the SuperSonic MACH 40 ultrasound system, expanding the company’s suite of ultrasound technologies with its first premium, cart-based system.
News | Breast Imaging | July 08, 2020
July 8, 2020 — Hologic, Inc. announced he U.S.
Fujifilm’s Sonosite SII POC ultrasound system helps to keep crowded areas clearer with a small ultrasound footprint.

Fujifilm’s Sonosite SII POC ultrasound system helps to keep crowded areas clearer with a small ultrasound footprint.

Feature | Ultrasound Imaging | July 07, 2020 | By Joan Toth
With the miniaturization of technology, improved ease of use, lower system cost, increased portability and greater ac
A 3-D ultrasound system provides an effective, noninvasive way to estimate blood flow that retains its accuracy across different equipment, operators and facilities, according to a study published in the journal Radiology.

Volume flow as a function of color flow gain (at a single testing site). For each row the color flow c-plane and the computed volume flow are shown as a function of color flow gain. The c-plane is shown for four representative gain levels, whereas the computed volume flow is shown for 12–17 steps across the available gain settings. Flow was computed with (solid circles on the graphs) and without (hollow circles on the graphs) partial volume correction. Partial volume correction accounts for pixels that are only partially inside the lumen. Therefore, high gain (ie, blooming) does not result in overestimation of flow. Systems 1 and 2 converge to true flow after the lumen is filled with color pixel. System 3 is nearly constant regarding gain and underestimates the flow by approximately 17%. Shown are mean flow estimated from 20 volumes, and the error bars show standard deviation. Image courtesy of the journal Radiology

News | Ultrasound Imaging | July 01, 2020
July 1, 2020 — A 3-D ultrasound
R2* maps of healthy control participants and participants with Alzheimer disease. R2* maps are windowed between 10 and 50 sec21. Differences in iron concentration in basal ganglia are too small to allow visual separation between patients with Alzheimer disease and control participants, and iron levels strongly depend on anatomic structure and subject age. Image courtesy of Radiological Society of North America

R2* maps of healthy control participants and participants with Alzheimer disease. R2* maps are windowed between 10 and 50 sec21. Differences in iron concentration in basal ganglia are too small to allow visual separation between patients with Alzheimer disease and control participants, and iron levels strongly depend on anatomic structure and subject age. Image courtesy of Radiological Society of North America

News | Magnetic Resonance Imaging (MRI) | July 01, 2020
July 1, 2020 — Researchers using magnetic...