News | Artificial Intelligence | June 26, 2018

Northwestern Medicine Bluhm Cardiovascular Institute Announces Launch of Artificial Intelligence Center

$25 million gift launches new center dedicated to using AI and machine learning to treat cardiovascular disease

Northwestern Medicine Bluhm Cardiovascular Institute Announces Launch of Artificial Intelligence Center

June 26, 2018  – Northwestern Medicine Bluhm Cardiovascular Institute in Illinois received a $25 million gift from the Bluhm Family Charitable Foundation, formed by Neil G. Bluhm, a prominent Chicago philanthropist and real estate developer. The gift will fund, in part, a first-of-its-kind center that utilizes artificial intelligence (AI) and machine learning to advance the study and treatment of cardiovascular disease.

The world-class cardiovascular program that bears Bluhm’s name is now accessible throughout the Northwestern Medicine health system, which includes Chicago and the surrounding communities.

“I’m incredibly gratified that an increasing number of people have access to the very best care,” said Bluhm, founder and president of JMB Realty Corp. “My support of Northwestern’s cardiovascular program has always been about sparking transformation and creating one of the top programs in cardiac care in the nation.”

Bluhm’s support began in 2005, when he provided the initial gift that facilitated the recruitment of Patrick M. McCarthy, M.D., executive director of the Bluhm Cardiovascular Institute and Heller-Sacks professor of cardiothoracic surgery at Northwestern University Feinberg School of Medicine, and created the Northwestern Medicine Bluhm Cardiovascular Institute.

“Bluhm’s gifts have allowed us to rapidly improve our options for better and safer care for the many patients who face the life-threatening condition of heart disease,” McCarthy said. “On behalf of our team, we thank him for his trust, his philanthropy, and his unwavering belief that the burden of cardiovascular disease can be lessened through innovation, research and quality patient care.”

McCarthy said that this most recent gift, in part, will help launch a new center focusing on harnessing the power of AI and machine learning to improve diagnosis, treatment and research for cardiovascular disease.

“Artificial intelligence is the next frontier in breakthrough medicine, and Northwestern Medicine is leading the way by incorporating this emerging technology throughout its cardiovascular programs,” said McCarthy. “Cardiovascular disease remains the No. 1 killer of Americans. Artificial intelligence offers an abundance of new ways to research and treat this pernicious disease.”

Currently, Northwestern Medicine is working with four companies to explore new ways to apply AI to clinical cardiovascular care. Northwestern Memorial HealthCare is in a unique position to forge promising, leading-edge collaborations with these companies by leveraging the many strengths of Northwestern Memorial Hospital, an academic medical center that is the top-ranked hospital in Illinois; Northwestern University and the Feinberg School of Medicine; and Northwestern Medicine’s broad clinical network that now extends throughout the Chicago area and northwestern Illinois.

“By harnessing Northwestern Medicine’s integrated academic health system we can study the use of AI and machine learning in a community setting or for the most advanced research,” said McCarthy.

In one example of AI use, Bluhm Cardiovascular Institute partnered with Bay Labs Inc., a West Coast-based technology company developing innovative products that use AI to help clinicians process and analyze cardiac ultrasound images. Cardiac ultrasound, or echocardiography, is considered the gateway to the diagnosis and management of heart disease.

“Our partnership with Northwestern Medicine has advanced our work faster than we anticipated, and in exciting new directions,” said Charles Cadieu, Ph.D., co-founder and CEO of Bay Labs. “In the coming months, we are launching studies at Northwestern Medicine to advance towards three goals — to make echocardiography more widely accessible for the benefit of patient care wherever patients are seen, to increase the health system’s ability to deliver quality care at scale, and to use AI to improve the efficiency and quality of physician echocardiogram interpretation.”

For more information: www.heart.nm.org

Related Content

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

News | Artificial Intelligence | May 26, 2020
May 26, 2020 — DiA Imaging Analysis, a provider of AI based ultrasound analysis solutions, said it received a governm
A list of all the abnormalities the AI model classifies. This illustration only shows three representative leads (DII, V1 and V6).Fig. This is Figure 1 from the Nature Communications article.

A list of all the abnormalities the AI model classifies. This illustration only shows three representative leads (DII, V1 and V6).Fig. This is Figure 1 from the Nature Communications article.

News | Artificial Intelligence | May 19, 2020
May 19, 2020 — Artificial inte...
TeraRecon will accelerate innovation in its advanced visualization and AI platforms for image-related decision support to clinical specialists

TeraRecon's End-to-End AI Ecosystem

News | Artificial Intelligence | March 04, 2020
March 4, 2020 — SymphonyAI Group, an operating group of lea
The FDA granted marketing authorization of the Caption Guidance software to Caption Health Inc. in February 2020. It uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

The Caption Guidance software uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

News | Artificial Intelligence | February 13, 2020
February 13, 2020 — The U.S.

GE Healthcare partnered with the AI developer Dia to provide an artificial intelligence algorithm to auto contour and calculate cardiac ejection fraction (EF). The app is now available on the GE Vscan pocket, point-of-care ultrasound (POCUS) system, as seen here displayed at RSNA 2019. Watch a VIDEO demo from RSNA.

Feature | Artificial Intelligence | February 11, 2020 | Sanjay Parekh, Ph.D. 
February 7, 2020 – At the 2019 Radiological Society...
A new technology for detecting low glucose levels via electrocardiogram (ECG) using a non-invasive wearable sensor, which with the latest artificial intelligence (AI) can detect hypoglycemic events from raw ECG signals has been made by researchers from the University of Warwick.

A new technology for detecting low glucose levels via electrocardiogram (ECG) using a non-invasive wearable sensor, which with the latest artificial intelligence (AI) can detect hypoglycemic events from raw ECG signals has been made by researchers from the University of Warwick.

 

News | Artificial Intelligence | January 13, 2020
A new technology for detecting low glucose levels via electrocardiogram (ECG) using a non-invasive wearable sensor,...
Videos | Artificial Intelligence | November 07, 2019
Piotr Slomka explains how his team at Cedars-Sinai is working on intelligent patient risk prediction algorithms...
AI Could Use EKG Data to Measure Patient's Overall Health Status

Image courtesy of iStock

News | Artificial Intelligence | August 29, 2019
In the near future, doctors may be able to apply artificial intelligence (AI) to electrocardiogram data in order to...