News | Artificial Intelligence | March 02, 2017

IBM Debuts First Cognitive Imaging Offering from Watson Health

Company also announces expansion of Watson Health Medical Imaging Collaborative to 24 members worldwide

IBM, Watson Health, Imaging Clinical Review, first cognitive imaging offering, HIMSS17

March 2, 2017 — IBM at the 2017 Healthcare Information and Management Systems Society Conference and Exhibition (HIMSS17) introduced IBM Watson Imaging Clinical Review, the first cognitive imaging offering from Watson Health. The company also announced the expansion of the Watson Health medical imaging collaborative to 24 organizations worldwide, adding clinical and industry expertise for the worldwide initiative finding ways to use medical imaging to identify and predict the risk of cancer, diabetes and diseases of the eye, brain, breast, heart and related conditions.

New collaborative members include:

  • Froedtert & the Medical College of Wisconsin;
  • IDx LLC;
  • PrivaCors;
  • Strategic Radiology;
  • Sutter Health;
  • Pacific Radiology Group;
  • University of Michigan; and
  • University of Virginia Health System.

They join founding members that include:

  • Agfa HealthCare;
  • Anne Arundel Medical Center;
  • Baptist Health South Florida;
  • Eastern Virginia Medical School;
  • Hologic Inc.;
  • ifa systems AG;
  • Inoveon;
  • Radiology Associates of South Florida;
  • Sentara Healthcare;
  • Sheridan Healthcare;
  • Topcon;
  • University of California San Diego Health;
  • University of Miami Health System;
  • University of Vermont Health Network;
  • vRad, a Mednax company; and
  • Merge, an IBM company.

“The medical imaging collaborative is vital to Watson’s ongoing training and the development of cognitive imaging solutions to address the world’s pressing health challenges,” said Anne Le Grand, vice president of Imaging for Watson Health. She added that members of the collaborative helped design and curate data for Watson Imaging Clinical Review.

The offering reviews medical data to help healthcare providers identify the most critical cases that require attention. The first application for the offering is cardiovascular disease, starting with a common condition called aortic stenosis (AS). AS, which affects 1.5 million Americans, occurs when the aortic valve in the heart is narrowed, impeding blood flow to the rest of the body and causing shortness of breath, tiredness, and chest pain. A pilot study found that Watson Imaging Clinical Review was able to help hospital personnel identify potential AS patients who had not been previously flagged for follow-up cardiovascular care.

Using Watson Imaging Clinical Review, hospital administrators may identify cases where follow-up care is warranted and assure electronic medical record (EMR) information is complete. It uses cognitive text analytics to read structured and unstructured information in a cardiologist’s medical report, combines that with a variety of data from other sources (e.g. EMR problem list), and extracts relevant information to verify key data, including the diagnosis, is accurately reflected throughout the health record.

“Watson Imaging Clinical Review is the type of targeted AI [artificial intelligence]-driven tool that providers could put to use to help them standardize care delivered across their organization, and gradually build a critical mass of reproducible results from their patient population. In doing so, it can support a population health-driven approach to personalized care,” said Nadim Michel Daher, a medical imaging and informatics analyst for Frost & Sullivan.

“Out of the gate, this type of cognitive tool may provide big benefits to hospitals and doctors, providing insights we don’t currently have and doing so in a way that fits how we work,” said Ricardo C. Cury, M.D., director of cardiac imaging at Baptist Health of South Florida and chairman and CEO of Radiology Associates of South Florida.

IBM plans to supplement the release of this offering with nine additional cardiovascular conditions, such as myocardial infarctions (heart attacks), valve disorders, cardiomyopathy (disease of the heart muscle) and deep vein thrombosis.

Read the feature story "How Artificial Intelligence Will Change Medical Imaging."

For more information: www.ibm.com/watsonhealth

Related Content

At #ACC.19, Siemens unveiled a version of its go.Top platform optimized for cardiovascular imaging. The newly packaged scanner can generate the data needed to do CT-based FFR (fractional flow reserve).

At #ACC.19, Siemens unveiled a version of its go.Top platform optimized for cardiovascular imaging. The newly packaged scanner can generate the data needed to do CT-based FFR (fractional flow reserve). Photo by Greg Freiherr

Feature | Cardiac Imaging | March 22, 2019 | By Greg Freiherr
Reflecting a trend toward the increased use of...
Improving Molecular Imaging Using a Deep Learning Approach
News | Nuclear Imaging | March 21, 2019
Generating comprehensive molecular images of organs and tumors in living organisms can be performed at ultra-fast speed...
DrChrono and 3D4Medical Partner to Bring 3-D Interactive Modeling to Physician Practices
News | Advanced Visualization | March 18, 2019
DrChrono Inc. and 3D4Medical have teamed up so practices across the United States can access 3-D interactive modeling...
SyncVision iFR Co-registration from Philips Healthcare maps iFR pressure readings onto angiogram.

SyncVision iFR Co-registration from Philips Healthcare maps iFR pressure readings onto angiogram. Results from an international study presented at #ACC19 show that pressure readings in coronary arteries may identify locations of stenoses remaining after cardiac cath interventions.

Feature | Cardiac Imaging | March 18, 2019 | By Greg Freiherr
As many as one in four patients who undergo cath lab interventions can benefit from a technology that identifies the
Jennifer N. A. Silva, M.D., a pediatric cardiologist at Washington University School of Medicine in Saint Louis, Mo., describes “mixed reality” at ACC19 Future Hub.

Jennifer N. A. Silva, M.D., a pediatric cardiologist at Washington University School of Medicine in Saint Louis, Mo., describes “mixed reality” at ACC19 Future Hub.

Feature | Cardiac Imaging | March 17, 2019 | By Greg Freiherr
Virtual reality (VR) and its less immersive kin, augmented reality (AR), are gaining traction in some medical applica
WVU cardiology chief Partho Sengupta, M.D., describes at ACC 2019 how artificial intelligence already helps cardiologists in echocardiography.

WVU cardiology chief Partho Sengupta, M.D., describes at ACC 2019 how artificial intelligence already helps cardiologists in echocardiography. Photo by Greg Freiherr

Feature | Cardiac Imaging | March 16, 2019 | By Greg Freiherr
Machine learning is already having an enormous impact on cardiology, automatically calculating measurements in echoca
Sponsored Content | Videos | Enterprise Imaging | March 15, 2019
As a VNA, GE Healthcare Ce
Bay Labs Announces New Data on EchoGPS, AutoEF AI Software at ACC.19
News | Cardiovascular Ultrasound | March 15, 2019
Artificial intelligence (AI) company Bay Labs announced the presentation of two studies assessing performance of the...
Podcast | Cardiac Imaging | March 15, 2019
Debate About Coronary Testing Highlights ACC Session
Sponsored Content | Videos | Artificial Intelligence | March 13, 2019
At RSNA 2018, iCad showed how its...