Health technology company Hyperfine is collaborating with Silicon Valley giant NVIDIA to leverage NVIDIA’s AI expertise and rapid computing to strengthen Hyperfine’s portable imaging technology, the Swoop system.
AI-powered portable magnetic resonance (MR) technology is used at the point of care. The aim is to deal with critical healthcare gaps that conventional MRI systems cannot fill.
The Swoop system produces images that display the internal structure of one’s head.
The collaboration between Hyperfine and NVIDIA will concentrate on advancing AI-powered image reconstruction and implanting real-time clinical decision support into portable MRI workflow.
By leveraging NVIDIA’s training and inference tools, such as NVIDIA DALI and MONAI, the alliance aims to improve the Swoop system’s image quality, reduce scan times and allow for more quicker, dependable diagnoses.
“Our mission is to make portable brain imaging faster, more intelligent, and increasingly accessible, ultimately improving health outcomes and reducing costs globally,” Maria Sainz, president and CEO of Hyperfine, said in a statement.
“Partnering with NVIDIA presents an incredible opportunity to advance and accelerate our AI technology. I’m thrilled about the possibilities this collaboration brings for the future.”
THE LARGER TREND
In February, NVIDIA announced a partnership with the Arc Institute and Stanford University to launch a new foundation model, Evo 2, that understands the genetic code for all domains of life.
The model, which was being touted as the largest publicly available AI model for genomic data, was built using the NVIDIA DGX Cloud platform on Amazon Web Services (AWS) in collaboration with Arc and Stanford. Evo 2, according to NVIDIA, is accessible to global developers on the NVIDIA BioNeMo platform, including as an NVIDIA NIM microservice for easy and safe AI deployment.
In 2024, Johnson & Johnson MedTech partnered with NVIDIA to advance the integration of artificial intelligence in surgical procedures.
The alliance was aimed to enhance real-time analysis and broaden the use of AI algorithms in surgical decision-making, education and collaboration within operating rooms across J&J MedTech’s digital surgery ecosystem.
Via a memorandum of understanding, both companies agreed to expedite the incorporation of AI into Johnson & Johnson MedTech’s surgical technologies, utilizing NVIDIA’s AI platform for healthcare.
J&J MedTech will utilize the chipmaker’s IGX edge computing platform and Holoscan edge AI platform to extend its open ecosystem for surgery, creating infrastructure to deploy AI-powered software applications in the OR.
In 2022, Indian health technology startup Qure.ai adopted NVIDIA’s latest open-source framework for deploying AI medical imaging applications.
The MONAI Application Packages simplify the process of deploying an AI model in an existing healthcare ecosystem. According to NVIDIA, Qure.ai is now packaging its AI solutions for deployment using MAPs, accelerating its clinical impact.
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