Data Science Office

Collaborations

Mass General Brigham Data Science Office delivers innovative digital solutions to transform care delivery. To pursue our mission, we partner with industry leaders and Mass General Brigham researchers and clinicians to accelerate the impact of AI across all domains of healthcare.

GE Healthcare

Mass General Brigham and GE Healthcare have a 10-year collaboration to integrate Artificial Intelligence into every aspect of the patient journey. Our initial focus is on developing AI solutions that will be integrated into CT and MR scanners, as well as into PACS workstations in radiology reading rooms everywhere. The DSO is combining world-class machine learning capabilities with Mass General Brigham’s wealth of clinician expertise to deliver high-impact AI solutions rapidly.

GE is working closely with the DSO to implement AI models into real-world scenarios as quickly as they are validated. Together, we are able to drive enhanced patient care at a pace previously impossible.

NVIDIA

The Data Science Office and NVIDIA are working together to create a future in which patient care is enhanced through the use of artificial intelligence. We are building a state-of-the-art deep learning datacenter with NVIDIA’s expertise and their high-performance GPU resources to train neural networks on medicine’s toughest problems.

DASA

DASA is one of the world’s largest health companies. As the leading diagnostics company in Latin America, DASA conducts more than 250 million tests per year in its more than 700 laboratories. DSO’s technology and AI tools, paired with DASA’s deep experience in diagnostic medicine, will lead to solutions that can increase the accuracy of diagnostics, speed up the interpretation of medical images, and broaden the range of patients served.

Nuance Communications

Mass General Brigham and Nuance Communications are strategic partners in optimizing the process for rapid development, validation, and utilization of artificial intelligence (AI) for radiologists. The collaboration is focused on improving radiologists’ efficiency and report quality, as well as patient clinical outcomes. Nuance and Mass General Brigham work together, along with other key supporters of the Nuance AI Marketplace for Diagnostic Imaging including NVIDIA and the American College of Radiology. The collective will continue to foster the democratization of Imaging AI, with an emphasis on automating many of the mundane and repetitive tasks radiologists face daily.

FUJIFILM SonoSite, Inc.

FUJIFILM SonoSite, Inc. and Mass General Brigham established a strategic relationship to apply artificial intelligence to improve the utility and functionality of portable ultrasound. The two organizations collaborate to enhance ultrasound technology with AI to enable clinicians to perform scans at the point-of-care, further expanding the accessibility of this technology for clinicians and their patients. The collaboration is executed through the Data Science Office and leverages the extensive data assets, computational infrastructure, and clinical expertise of the Mass General Brigham system. The first project under the collaboration targets complex emergency medicine procedures using AI-enabled portable ultrasound, reducing the time delay between trauma and diagnosis. This will translate to faster interventions and improved outcomes.

DSO Affiliates Program

The DSO works closely with faculty who serve as Scientific Directors & Senior Clinical Investigators, leading and collaborating on projects with our industry partners.

In addition, we rely on Subject-Matter Experts & Advisors who help verify market or clinical relevance of project concepts.

Scientific Directors

Provide machine learning or data science expertise, along with dedicated resources for project work.

Senior Clinical Investigators

Provide clinical expertise, health care workflow knowledge, along with dedicated resources for project work.

Subject-Matter Experts & Advisors

Provide specialist expertise, advise on specific domain and program concepts, may contribute to project deliverables (e.g., curation or annotation of data sets).

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