In the Press


Feb 12, 2019
It’s 2019 and health tech companies are churning out incredible products and solutions, each one better than the last. In this roundup, we take a closer look at 10 of the best healthcare tech companies that are turning heads in the cardiovascular world.

These are the companies driving the future of cardiovascular disease diagnosis, treatment, prevention, and patient care. What’s more, they include established tech firms as well as some of the best healthcare startups to watch in 2019 and beyond.

Healthcare IT News

Nov 13, 2018
A new study, which just enrolled the first of some 1,200 patients, will examine how artificial intelligence could help certified medical assistants do echocardiograms.

Northwestern Medicine has enrolled the first patient for what it says will be a pioneering study in AI-enabled cardiology – conducted in partnership with Bay Labs, a San Francisco-based startup focused on applying deep learning to ultrasound and cardiovascular imaging.

Analytics Insight

Sep 10, 2018
Bay Labs is a privately held medical technology company at the forefront of applying artificial intelligence (AI) to cardiovascular imaging. Bay Labs is focused on increasing quality, value and access to medical imaging by combining deep learning and ultrasound. The company is developing products designed to help medical professionals of all skill levels perform and interpret high-quality echocardiography to ultimately benefit their patients.

Chicago Tribune

Jun 26, 2018
Northwestern Medicine will use a new $25 million gift from real estate developer Neil Bluhm to develop artificial intelligence as a tool in the fight against heart disease.

The donation will help fund “a first-of-its-kind center that utilizes artificial intelligence and machine learning to advance the study and treatment of cardiovascular disease,” Northwestern Medicine announced Tuesday.

Radiology Business

Jun 26, 2018
San Francisco-based tech company Bay Labs this week announced the success of its deep learning software, EchoMD AutoEF, in reducing variability in cardiovascular imaging.

The software is able to evaluate left ventricular ejection fraction (EF) with a variability of around 8.29 percent, according to a release. That’s nearly 1 percent lower than the average variability of cardiologist readers using the Simpson’s biplane method to estimate EF.

Business Wire

Jun 25, 2018
Bay Labs, a medical technology company at the forefront of applying artificial intelligence (AI) to cardiovascular imaging, today announced its EchoMD AutoEF deep learning software has less variability in evaluating left ventricular ejection fraction (EF) than the average variability of cardiologists reported in literature, as demonstrated in a study conducted with the Minneapolis Heart Institute. Results of the study were presented today at the 2018 American Society of Echocardiography (ASE) Annual Scientific Sessions.

Business Wire

Jun 19, 2018
Bay Labs, a medical technology company at the forefront of applying artificial intelligence (AI) to cardiovascular imaging, today announced its EchoMD AutoEF software product received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for the fully automated clip selection and calculation of left ventricular ejection fraction (EF).

Cardiovascular Business

Mar 13, 2018
Applying a deep learning approach to echocardiography could save clinicians time while improving diagnostic accuracy, one Georgia-based cardiologist reported at the American College of Cardiology’s annual meeting in Orlando, this year.

Randolph P. Martin, MD, said machine learning—and its self-training subset, deep learning—is often perceived as a threat to cardiologists, but the tools could aid clinical decision-making in a way humans can’t.


Dec 15, 2017
Bay Labs has raised $5.5 million to propel its artificial intelligence system for cardiovascular images toward the market. The technology is designed to support the performance and interpretation of echocardiograms, expanding the pool of physicians who can diagnose cardiovascular disease.


Dec 14, 2017
Current advances in Artificial Intelligence (AI) are poised to redesign healthcare for the better — for patients, physicians, and even the medical device industry. Medical devices could see tremendous benefits from applying AI because they are static devices that produce hard-to-read data, which requires significant interpretation time from specialists. Ultrasound, in particular, one of the most widely used diagnostic technologies in medicine, presents an ideal application for Deep Learning (a subset of AI particularly good at handling image data) because of the high volume of nuanced structural information produced in every reading. Enter Bay Labs.

Business Wire

Dec 14, 2017
Bay Labs, a medical technology company at the forefront of applying artificial intelligence (AI) to cardiovascular imaging, today announced it completed $5.5 million in financing. The Series A round was led by existing investor Khosla Ventures with participation from new investors including Data Collective (DCVC), Greenbox Venture Partners, Minneapolis Heart Institute Ventures and Georges Harik. Proceeds will be used to continue clinical validation, accelerate technological development and bring Bay Labs’ products to the U.S. market. In addition, Ben Ling, general partner at Khosla Ventures, and Armen Vidian, operating partner at DCVC, will join Bay Labs’ Board of Directors.

Business Wire

Oct 25, 2017
Bay Labs, a medical technology company at the forefront of applying artificial intelligence to cardiovascular imaging, today announced that Emeritus Professor of Medicine (Cardiology) at Emory University School of Medicine and the company’s Chief Medical Officer Randolph P. Martin, M.D. FACC, FASE, has been invited to be a faculty member and present at the upcoming 29th Transcatheter Cardiovascular Therapeutics (TCT) annual scientific symposium of the Cardiovascular Research Foundation (CRF) meeting in Denver. Dr. Martin’s two presentations will focus on how advances in artificial intelligence, machine learning, and deep learning can impact the role that cardiovascular imaging and echocardiography play in the diagnosis and management of heart diseases, especially those affecting the heart valves.


May 10, 2017
Nvidia‘s GPU Technology Conference is all about highlighting companies using graphics processing units (GPUs) to accelerate artificial intelligence. To juice the ecosystem, Nvidia and its partners tonight gave away $1.5 million in prizes to the winner of the Nvidia Inception Awards for best AI startups.


Apr 23, 2017
Nvidia is on a quest to find the best “social impact” artificial intelligence startups as part of a program called Nvidia Inception, which is screening more than 600 entrants to cull the best AI startups in three big categories.


Jan 1, 2017
If artificial intelligence (AI) hadn’t hit the mainstream before, it did this year. Google chief executive Sundar Pichai came through with the best sound bite, saying that the world is going from being “mobile-first” to “AI-first.”

Apple squished AI into the iPhone, and Google stuck it in the Pixel. Facebook brought it to the News Feed, and Microsoft put it in Word. Samsung bought AI startup Viv to catch up with Apple’s Siri virtual assistant. And messaging apps like Skype and Messenger now feature chatbots.

Import AI, a newsletter about artificial intelligence

Sep 12, 2016
Good healthcare is punishingly expensive. It relies on vast infrastructure and, in most countries, huge amounts of government support. If you’re unlucky enough to be born in a part of the world with poor healthcare infrastructure then your life will be shorter and your opportunities will be smaller. So it’s great to see examples of AI helping to reduce the cost of healthcare. This week, deep learning startup BayLabs is doing work with the American society of echocardiography to help a Kenyan team scan hundreds of school children in the village of Eldoret for signs of Rheumatic Heart Disease - the most common acquired heart disease in children, particularly those in developing countries.

The Wall Street Journal

Jan 28, 2016
Bay Labs Inc. launched out of stealth mode today to use deep learning to help medical professionals in developing countries interpret ultrasounds so they can better treat heart disease.