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The companies aim to build a foundational model for MRI, powered by Nvidia’s advanced AI computing platform. They expect the foundational model to lay the groundwork for a new generation of applications to enhance MR image quality. With a large deep learning neural network trained on massive datasets, it could accelerate scan times. The companies also expect it to improve diagnostic workflow and accuracy across a range of clinical applications.
Features of the foundational model include zero-click scans across different anatomies. Philips says this could potentially dramatically speed up workflows and increase throughput. Interactive image enhancement capabilities like denoising, super-resolution and sharpening also allow for more precise diagnoses.
With the model, radiologists can preview images and adjuste quality and speed parameters before the actual scan to streamline the process. It can also facilitate automatic detection and interpretation of image findings to make the process more efficient and reliable.
Philips and Nvidia plan to develop the solution for seamless integration into existing MR workflows, building on the VISTA-3D model. Additionally, it builds on MAISI, a state-of-the-art 3D model for imaging.
“Our AI-powered MRI solutions are already enabling healthcare providers to deliver better care to more people,” said Dr. Ioannis Panagiotelis, business leader of MRI at Philips. “By partnering with Nvidia to build an MR foundational model, we’re pioneering a new frontier for medical imaging, one that has the potential to transform the role of MR in the diagnosis and treatment of a wide range of diseases. The benefits for patients and healthcare providers could be enormous.”
Nvidia, a leader in AI computing, continues to rack up partners in the medtech space.
The company’s work in the field includes recent surgical robotics collaborations with the likes of Moon Surgical and Virtual Incision. Nvidia also paired up with Neptune Medical and Stereotaxis on surgical robotics earlier this year.
Medtech giant Johnson & Johnson also struck a deal with Nvidia around using AI in surgical robotics about a year ago. Asensus Surgical (now part of Karl Storz) linked up with Nvidia in 2023 to deliver novel clinical intelligence to surgeons in surgical robotics as well.
Smith+Nephew is using Nvidia’s computing capabilities to power “spatial surgery,” a new, tracking-enabled surgical modality. Meanwhile, Nvidia helps to power the brain-computer interface (BCI) technology developed by Synchron.
Nvidia’s reach also extends beyond Philips in the imaging sphere, with recent collaborations with Hyperfine and GE HealthCare.
(Read more about some of the recent Nvidia partnerships in this roundup.)
Filed Under: Artificial Intelligence (AI), Business/Financial News, Diagnostics, Health Technology, Imaging, Machine Learning (ML), Software / IT
Sean Whooley is an associate editor who mainly produces work for MassDevice, Medical Design & Outsourcing and Drug Delivery Business News. He received a bachelor’s degree in multiplatform journalism from the University of Maryland, College Park. You can connect with him on LinkedIn or email him at [email protected].
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