Health

Medtronic and NVIDIA announce medical device partnership



As part of NVIDIA’s GTC 2023 conference, the company focusing on metaverse and artificial intelligence across industries announced a number of AI-based partnerships to advance medical devices and medical imaging. , including a partnership with Medtronic, the world’s largest provider of healthcare technology.

Creating a common platform for Medtronic systems

Medtronic and NVIDIA have announced that they are collaborating to accelerate AI development in healthcare and bring new AI-based solutions to patient care.

Integration with NVIDIA Holoscan – the edge real-time data processing AI computing software platform designed to build medical devices – and NVIDIA IGX – the edge AI hardware platform industry – into Medtronic’s GI Genius smart endoscope module that will ship later this year, NVIDIA CEO Jensen Huang said in his keynote yesterday.

Medtronic’s AI-assisted colonoscopy has been approved by the US Food and Drug Administration to help doctors detect tumors that can lead to colorectal cancer. According to NVIDIA’s announcement, GI Genius integration can assist physicians with AI-enhanced diagnostic images to improve endoscopy and patient outcomes.

Holoscan enables medical devices to provide the low-latency inference needed for AI in clinical environments.

“Artificial intelligence is a powerful tool that can increase the speed, performance, and efficiency of global health systems,” Kimberly Powell, vice president of healthcare at NVIDIA, said in the announcement. yesterday.

“We are partnering with Medtronic to accelerate AI innovation by enabling a software-defined business model, with the goal of improving clinical decision-making, reducing medical variability, and delivering results better outcomes for patients,” she said.

Additional integrations with Holoscan and IGX could allow developers to train and validate AI models, and then host AI-powered applications on Medtronic’s AI GI Genius Access Platform, a market for software applications in the form of medical devices.

Support for robotic surgery and medical image enhancement

NVIDIA says the Holoscan was also recently used at the Belgium-based ORSI Academy’s surgical training center in the operating room to support robot-assisted surgery.

“At Onze-Lieve-Vrouw Hospital, ORSI-trained urologists successfully removed a patient’s kidney using Intuitive’s da Vinci robot-assisted surgery system , with the help of an augmented reality overlay of the patient’s anatomy from a CT scan, rendered in real time and AI augmented by Holoscan,” the company said in a separate announcement.

Pari Natarajan, CEO of Zinnov, a global management and consulting firm focused on digital transformation, said: “Metaverse holds the power to transform the healthcare industry in many other ways. It allows employees across industries and geographies to collaborate seamlessly to share knowledge and collaborate.” in health care.

“It will become very easy for healthcare professionals around the globe to assist in critical surgeries, using robotics and augmented reality technology,” he said. HealthcareITNews last month.

NVIDIA says NVIDIA’s Clara ecosystem, which includes BioNeMo for drug discovery, Parabricks for genomics, and MONAI for medical imaging, is being used by more than 100 partners.

MONAI helps create healthcare AI applications that can label and analyze medical images.

NVIDIA also noted that Flywheel, a biomedical research data platform, is incorporating MONAI in its products. That company has partnered with the University of Wisconsin’s Department of Radiology to develop a model-based image classifier that helps predict and label body regions present in medical images.

Andrea Fox is the senior editor of Healthcare IT News.
Email: [email protected]

Healthcare IT News is a publication of HIMSS Media.

Benjamin Knisely and Holly Pavliscsak will provide more details in their HIMSS23 session “Natural Language Processing to Identify Unmet Needs in Military Medicine.” Scheduled for Tuesday, April 18, 11:45am – 12:15pm CT at the South Building, 1st Floor, in room S104.

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