We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




NVIDIA CLARA and Fovia Ai to Bring AI Annotation Tools to Physicians Everywhere

By MedImaging International staff writers
Posted on 26 Dec 2019
Print article
Image: AI-Assisted Annotation (Photo courtesy of NVIDIA)
Image: AI-Assisted Annotation (Photo courtesy of NVIDIA)
Fovia Ai, Inc. (Palo Alto, CA, USA), a leader in advanced visualization technology, has announced that it is working with NVIDIA (Santa Clara, CA, USA) to integrate Fovia Ai's artificial intelligence technology with NVIDIA AI-Assisted Annotation, powered by NVIDIA Clara. The integration will accelerate the delivery of AI-assisted workflows to radiologists by leveraging Fovia's High Definition Volume Rendering installed base in leading PACS viewers and nearly two decades of radiology integration experience.

F.A.S.T. AI Annotation provides the ability to improve ground truth marking, interact with annotations in 2D and 3D, access cloud-based, truth-annotation tools, annotate and segment voxels in 3D, and utilize F.A.S.T. AI Validation tools that seamlessly integrate into the imaging ecosystem. The streamlined architecture of Fovia Ai's technology, together with NVIDIA AI-Assisted Annotation, accelerate the annotation process, helping radiologists save time and increase productivity.

"We are excited to work with NVIDIA. Its Clara architecture and EGX intelligent edge computing platform provide an outstanding solution to run these AI Algorithms quickly enough to embed them directly into clinical workflows. Starting with NVIDIA AI-Assisted Annotations and then allowing physicians to use Fovia Ai's F.A.S.T. AI Annotation to merely accept or slightly adjust results delivers the most efficient way for physicians to assist in creating the large amounts of labeled data required to train deep neural networks for advanced medical imaging applications," said Fovia Ai's Chief Technology Officer, Kevin Kreeger, Ph.D.

"Combining Fovia Ai's user experience with NVIDIA Clara's AI-Assisted Annotation SDK will expedite creating meaningful annotation to accelerate AI algorithm development," said Brad Genereaux, Medical Imaging Alliance Manager at NVIDIA. "By helping radiologists integrate AI workflows into their everyday clinical work, they can save time and increase productivity."

Related Links:
Fovia Ai, Inc.
NVIDIA


New
Needle Guide Disposable Kit
Verza
New
Medical Radiographic X-Ray Machine
TR30N HF
Digital X-Ray Detector Panel
Acuity G4
New
Mobile X-Ray Machine
MARS 15 / 30

Print article

Channels

MRI

view channel
Image: An AI tool has shown tremendous promise for predicting relapse of pediatric brain cancer (Photo courtesy of 123RF)

AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans

Many pediatric gliomas are treatable with surgery alone, but relapses can be catastrophic. Predicting which patients are at risk for recurrence remains challenging, leading to frequent follow-ups with... Read more

Nuclear Medicine

view channel
Image: In vivo imaging of U-87 MG xenograft model with varying mass doses of 89Zr-labeled KLG-3 or isotype control (Photo courtesy of L Gajecki et al.; doi.org/10.2967/jnumed.124.268762)

Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors

Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.