News | Artificial Intelligence | May 17, 2017

Partners HealthCare and GE Healthcare Launch 10-year Collaboration on Artificial Intelligence

Project vision includes co-development of open platform on which deep learning applications can be created, validated and seamlessly integrated into clinical workflows

Partners HealthCare and GE Healthcare Launch 10-year Collaboration on Artificial Intelligence

May 17, 2017 — Partners HealthCare and GE Healthcare announced a 10-year collaboration to rapidly develop, validate and strategically integrate deep learning technology across the entire continuum of care. The collaboration will be executed through the newly formed Massachusetts General Hospital and Brigham and Women’s Hospital Center for Clinical Data Science and will feature co-located, multidisciplinary teams with broad access to data, computational infrastructure and clinical expertise.

The initial focus of the relationship will be on the development of applications aimed to improve clinician productivity and patient outcomes in diagnostic imaging. Over time, the groups will create new business models for applying artificial intelligence (AI) to healthcare and develop products for additional medical specialties like molecular pathology, genomics and population health.

“This is an important moment for medicine,” said David Torchiana, M.D., CEO of Partners HealthCare. “Clinicians are inundated with data, and the patient experience suffers from inefficiencies in the healthcare industry. This partnership has the resources and vision to accelerate the development and adoption of deep learning technology and empower clinicians with the tools needed to store, analyze and leverage the flood of information to more rapidly and effectively deliver care.”

The vision for the collaboration is to implement AI into every aspect of a patient journey – from admittance through discharge. Once the deep learning applications are developed and deployed, clinicians and patients will benefit from a variety of tools that span disease areas, diagnostic modalities and treatment strategies and have the potential to do everything from decrease unnecessary biopsies to streamline clinical workflows to increase the amount of time clinicians spend with patients versus performing administrative tasks. Additionally, the teams will co-develop an open platform on which Partners HealthCare, GE Healthcare and third-party developers can rapidly prototype, validate and share the applications with hospitals and clinics around the world.

With the initial diagnostic imaging focus, early applications will address cases like:

  • Determining the prognostic impact of stroke,
  • Identifying fractures in the emergency room;
  • Tracking how tumors grow or shrink after the administration of novel therapies; and
  • Indicating the likelihood of cancer on ultrasound.

The applications are being developed based on three criteria:

  1. Patient impact;
  2. Technical capability; and
  3. Market appetite.

This is to ensure that the solutions being developed are not solely dependent on the data that’s available but specifically target the top clinician pain points and the most critically ill patients. The goal is to bring the most promising solutions to market faster, so they can start making an impact for hospitals, health systems and patients globally sooner.

Spinal injury patients represent the types of cases where deep learning applications can help clinicians deliver faster, more efficient care, as the patients need to be treated immediately or run the risk of significant and permanent damage. For a single patient, a lumbar spine magnetic resonance imaging (MRI) exam may generate up to 300 images. In addition, a doctor may need to review prior scans and notes in a patient’s electronic medical record before making a diagnosis. A deep learning application could be leveraged to quickly analyze the data and determine the most critical images for the radiologist to read, shortening the time to treatment for trauma patients, and enabling the clinician to deliver more personalized and comprehensive care for all patients – critically injured or not.

“We’re evolving the healthcare system to be able to take advantage of the benefits of deep learning, bringing together hospitals, data sets and clinical and technical minds unlike ever before,” said Keith Dreyer, DO, Ph.D., chief data science officer, Departments of Radiology at MGH and BWH. “The scope reflects the reality that advancements in clinical data science require substantial commitments of capital, expertise, personnel and cooperation between the system and industry.”

Watch a VIDEO interview with MGH Center for Clinical Data Science director Mark Michalski on the development of artificial intelligence to aid radiology.

Read the article "How Artificial Intelligence Will Change Medical Imaging."

For more information: www.gehealthcare.com, www.partners.org

Related Content

CZT SPECT camera detectors offered by GE.

A display of CZT SPECT gamma camera detectors at RSNA 2016. These detectors are more sensitive than those used in older cameras, allowing for faster scans or lower radiation dose. 

Feature | Nuclear Imaging| September 19, 2017 | Dave Fornell
Cardiac nuclear myocardial perfusion imaging (MPI) has been a mature area of imaging for years, but has recently star
Philips Launches CardioMD IV Cardiac SPECT Solution at ASNC 2017
Technology | SPECT Imaging| September 15, 2017
September 15, 2017 — Philips highlighted its newest solution for...
Mississippi Surgical and Vascular Center Uses Toshiba Ultimax-i FPD to Save Patients' Limbs
News | Angiography| September 14, 2017
The southern U.S. sees some of the highest numbers of chronic medical conditions, such as peripheral artery disease...
Philips Showcases Integrated Vascular Solutions at VIVA 2017
News | Peripheral Artery Disease (PAD)| September 13, 2017
Philips announced its presence at the Vascular Interventional Advances (VIVA 17) Annual Conference in Las Vegas from...
Orange County, Calif. Hospital Adopts Siemens Somatom Force CT for Cardiac Imaging
News | Computed Tomography (CT)| September 12, 2017
Hoag Memorial Hospital Presbyterian recently became the first hospital in Orange County, Calif., to install the Siemens...
Siemens Healthineers Receives FDA Clearance for TrueFusion Structural Heart Disease Feature
Technology | Cardiovascular Ultrasound| September 06, 2017
The U.S. Food and Drug Administration (FDA) has cleared TrueFusion, a new cardiovascular application from Siemens...
Advances in FFR, FFR-CT, was the most popular cardiology story in August 2017.

The most popular article in August was about advances in fractional flow reserve (FFR) technologies. The image shows Philips' new version of its iFR system that displays hemodynamic pressure drop points in an overlay on live angiographic images, matching up the iFR readings with corresponding lesions.

Feature | September 01, 2017 | Dave Fornell
September 1, 2017 — Here is the list of the most popular articles and videos on the Diagnostic and Interventional Car
Abbott. St. Jude Medical has updated its firmware to address cybersecurity issues with its Allure Quadra MP and other EP devices

Abbott. St. Jude Medical has updated its firmware to address cybersecurity issues with its Allure Quadra MP and other EP devices.

Feature | EP Lab| August 29, 2017 | Dave Fornell
August 29, 2017 — The U.S.
Sponsored Content | Videos | Cardiovascular Ultrasound| August 28, 2017
This video educational session, provided in partnership with the American Society of Echocardiography (ASE), is title
Overlay Init