News | Cardiovascular Ultrasound | November 19, 2018

Bay Labs and Northwestern Medicine Enroll First Patient in AI Echocardiography Study

Clinical trial evaluates if artificial intelligence helps certified medical assistants perform echocardiograms and detect heart disease in primary care settings

Bay Labs and Northwestern Medicine Enroll First Patient in AI Echocardiography Study

November 19, 2018 – Medical artificial intelligence (AI) company Bay Labs and Northwestern Medicine announced that the first patient has been enrolled in a first-of-its-kind study. The study will evaluate the use of Bay Labs’ EchoGPS cardiac ultrasound guidance software to enable certified medical assistants (CMAs) as medical professionals with no prior scanning experience to capture high-quality echocardiograms. The study will also evaluate the use of its EchoMD measurement and interpretation software suite to detect certain types of heart disease among patients 65 years and older undergoing routine physical examinations in primary care settings.

“Deep learning will have a profound impact on cardiac imaging in the future, and the ability to simplify acquisition will be a tremendous advance to bring echocardiograms to the point-of-care in primary care offices,” said Patrick M. McCarthy, M.D., chief of cardiac surgery at Northwestern Memorial Hospital, executive director, Northwestern Medicine Bluhm Cardiovascular Institute and principal investigator on the project.

“SHAPE: Seeing the Heart with AI Powered Echo” is the first study to evaluate AI-guided ultrasound acquisition by CMAs. SHAPE is a non-randomized study which will enroll approximately 1,200 patients at Northwestern Medicine sites, including Northwestern Medicine Central DuPage Hospital in Winfield, Ill., and Northwestern Medicine Regional Medical Group primary care clinics. The primary objective of the study is to determine whether CMAs can use the Bay Labs EchoGPS to obtain diagnostic-quality echocardiograms, and if those images reviewed by cardiologists with the assistance of the EchoMD software suite will enable detection of more patients with cardiac disease in a primary care setting compared to standard physical examination with an electrocardiogram (ECG).

The SHAPE study is a part of Bay Labs’ ongoing partnership with Northwestern Medicine to explore new ways to apply AI to clinical cardiovascular care and fits into Northwestern’s larger AI initiative, which focuses on harnessing the power of AI to advance the study and treatment of cardiovascular disease. The AI initiative is funded, in part, by a $25 million gift from the Bluhm Family Charitable Foundation, formed by Neil G. Bluhm, a prominent Chicago philanthropist and real estate developer. For more details on the SHAPE study, including enrollment information, please visit Clinicaltrials.gov identifier #NCT03705650.

Bay Labs’ EchoGPS is investigational software integrated into an ultrasound system. EchoGPS uses AI to aid in the acquisition of echocardiograms by providing non-specialist users real-time guidance to obtain cardiac views. The EchoMD software suite assists cardiologists in automated review of images captured. Bay Labs received U.S. Food and Drug Administration (FDA) clearance for its first release of EchoMD in June 2018, which included AutoEF software that fully automates clip selection and calculation of left ventricular ejection fraction (EF), the leading measurement of cardiac function.

For more information: www.baylabs.io

Related Content

The Eko digital stethoscope can record heart soubnds and use an artificial intelligence  (AI) analysis algorithm to detect heart murmurs. I new study in the JAHA showed it has comparable performance to that of an expert cardiologist. Eko Digital Stethoscope AI Analysis Algorithm Validated in JAHA article for Detecting Heart Murmurs

The Eko digital stethoscope can record heart soubnds and use an artificial intelligence  (AI) analysis algorithm to detect heart murmurs. I new study in the JAHA showed it has comparable performance to that of an expert cardiologist.

News | Artificial Intelligence | May 10, 2021
May 10, 2021 — Eko announced the peer-reviewed publication of a clinical study that found that the Eko...
Cloud AI software-as-a-service (SaaS) can help streamline workflows and increase throughput, enabling echocardiographers to better measure global longitudinal strain (GLS) more routinely without impacting productivity. This is an example of the Ultromics EchoGo Core artificial intelligence algorithm with fully automates GLS.

Cloud artificial intelligence (AI) software-as-a-service (SaaS) can help streamline workflows and increase throughput, enabling echocardiographers to better measure global longitudinal strain (GLS) more routinely without impacting productivity. This is an example of the Ultromics EchoGo Core artificial intelligence algorithm, which fully automates GLS. Learn more at www.ultromics.com.

Feature | Artificial Intelligence | March 16, 2021
Heart failure (HF) is a prevalent ye
Ultromics will offer EchoGo Pro as a stress-echo module in the EchoGo suite alongside EchoGo Core, its AI solution for automated systolic function and strain analysis. The EchoGo suite is a cloud-based service that uses artificial intelligence to fully automate the pathway to diagnosis, providing near-instant reports for clinicians without any need for physical software on site.

Ultromics will offer its artificial intelligence driven EchoGo Pro as a stress-echo module in the EchoGo suite alongside EchoGo Core, its AI solution for automated systolic function and strain analysis. The EchoGo suite is a cloud-based service that uses artificial intelligence to fully automate the pathway to diagnosis, providing near-instant reports for clinicians without any need for physical software on site.

News | Artificial Intelligence | January 06, 2021
January 6, 2021 — The U.S.
An example of a body composition analysis of an abdominal CT slice with the subcutaneous fat in green, skeletal muscle red and visceral fat in yellow. This was automatically identified and analyzed via a deep learning algorithm to assess the risk for heart attack and stroke in more than 12,000 patients. #RSNA2020 #RSNA20 #RSNA

An example of a body composition analysis of an abdominal CT slice with the subcutaneous fat in green, skeletal muscle red and visceral fat in yellow. This was automatically identified and analyzed via a deep learning algorithm to assess the risk for heart attack and stroke in more than 12,000 patients.

Feature | Artificial Intelligence | December 02, 2020
December 2, 2020 – Automated deep learning analysis of abdominal...
The U.S. Food and Drug Administration (FDA) has cleared AliveCor's Kardia AI V2 next generation of interpretive artificial intelligence (AI)-based personal electrocardiogram (ECG) algorithms.

The U.S. Food and Drug Administration (FDA) has cleared AliveCor's Kardia AI V2 next generation of interpretive artificial intelligence (AI)-based personal electrocardiogram (ECG) algorithms.

News | Artificial Intelligence | November 24, 2020
November 24, 2020 — The U.S.
Dia's LVivo artificial intelligence software can help automate many features of echocardiograms to speed workflow and aid novice users. The software is now integrated into the Konica Minolta Exa PACS.

Dia's LVivo artificial intelligence software can help automate many features of echocardiograms to speed workflow and aid novice users. The software is now integrated into the Konica Minolta Exa PACS. 

News | Artificial Intelligence | November 12, 2020
November 12, 2020 – Konica Minolta Healthcare Americas Inc. and DiA Imaging Analysis Ltd.
The artificial intelligence-driven Caption Guidance software guides point of care ultrasound (POCUS) users to get optimal cardiac ultrasound images. The AI software is an example of a FDA-cleared software that is helping improve imaging, even when used by less experienced users.

The artificial intelligence-driven Caption Guidance software guides point of care ultrasound (POCUS) users to get optimal cardiac ultrasound images. The AI software is an example of a FDA-cleared software that is helping improve imaging, even when used by less experienced users.

Feature | Artificial Intelligence | September 29, 2020 | Joe Fornadel, J.D., and Wes Moran, J.D.
The number of Federal Drug Administration (FDA)-approved AI-based algorithms is significant and has grown at a steady
Selfied might be used with AI to identify patients with heart disease. Getty Images

Getty Images

News | Artificial Intelligence | August 24, 2020
August 24, 2020 — Sending a photo selfie to the doctor could be a cheap and simple way of detecting heart disease usi