News | Artificial Intelligence | May 17, 2017

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

News | Prostate Cancer

July 9, 2025 — Artera, the developer of multimodal artificial intelligence (MMAI)-based prognostic and predictive cancer ...

Time July 09, 2025
arrow
News | Magnetic Resonance Imaging (MRI)

July 2, 2025 — Philips has received FDA 510(k) clearance for SmartSpeed Precise[1] MR’s latest deep learning ...

Time July 03, 2025
arrow
News | Ultrasound Imaging

July 1, 2025 — UPDATE: The final paper is now available at: JMIR AI - ChatGPT-4–Driven Liver Ultrasound Radiomics ...

Time July 01, 2025
arrow
News | Magnetic Resonance Imaging (MRI)

June 26, 2025 — Siemens Healthineers has received Food and Drug Administration clearance for the Magnetom Flow.Ace, its ...

Time June 26, 2025
arrow
News | Prostate Cancer

June 26, 2025 – Quibim, a global provider of quantitative medical imaging solutions, has launched AI-QUAL, a new feature ...

Time June 26, 2025
arrow
News | Bone Densitometry Systems

June 19, 2025 — Naitive Technologies has published results demonstrating the diagnostic performance of its AI-powered ...

Time June 18, 2025
arrow
News | Lung Imaging

June 18, 2025 — Exo recently announced that now included on its Exo Iris is the first ever FDA 510(k) cleared AI for ...

Time June 18, 2025
arrow
News | Digital Pathology

June 11, 2025 — Diagnostic laboratory leaders view digital pathology and artificial intelligence (AI) as pivotal to ...

Time June 12, 2025
arrow
News | Lung Imaging

June 11, 2025 — To prepare healthcare workforces and providers for an AI-driven future, Qure.ai has expanded its Global ...

Time June 11, 2025
arrow
News | Radiology Imaging

June 10, 2025 — CIVIE has announced the official launch of RadPod, an AI-driven, on-demand radiology platform designed ...

Time June 10, 2025
arrow
Subscribe Now