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
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




New AI Platform to Analyze NHS Radiological Scans

By MedImaging International staff writers
Posted on 30 May 2019
Print article
Image: The DGX-2 two petaFLOPS supercomputer system (Photo courtesy of Nvidia).
Image: The DGX-2 two petaFLOPS supercomputer system (Photo courtesy of Nvidia).
A novel artificial intelligence (AI) system intended for the United Kingdom National Health Service (NHS; London) will automate nationwide radiological interpretation across multiple clinical pathways, including oncology, cardiology, and neurology.

The AI project is a joint effort of Nvidia (Santa Clara, CA, USA) and King’s College London (KCL; United Kingdom), which will build and train the AI platform to interpret radiological scans for hospitals across the UK. The technology would thus free up overworked specialists and could also lead to breakthroughs across the medical imaging landscape, from determining the root cause of various cancers to helping classify specific neurological impairments and identifying optimal treatment plans.

At the core of the first stage of the project is a graphics processing unit (GPU)-powered two-petaflops Nvidia DGX-2 supercomputer, combining 16 interconnected GPUs, which Nvidia claims is currently the world's most powerful AI system. The project will also employ the Nvidia Clara AI toolkit, an open-source NiftyNet image-analysis neural-network, and a host of supplemental imaging technologies from existing NHS partners such as Kheiron Medical (London, UK), Mirada (London, UK) and Scan.

“Together with King's College London, we're working to push the envelope in AI for healthcare,” said Jaap Zuiderveld, vice president for Europe, the Middle East and Africa (EMEA) at Nvidia. “DGX-2 systems with the Nvidia Clara platform will enable the project to scale and drive breakthroughs in radiology [and] ultimately help improve patient outcomes within the NHS.”

“This center marks a significant chapter in the future of AI-enabled NHS hospitals, and the infrastructure is an essential part of building new AI tools which will benefit patients and the healthcare system as a whole,” said Professor Sebastien Ourselin, PhD, head of the School of Biomedical Engineering & Imaging Sciences at KCL. “The Nvidia DGX-2 AI system's large memory and massive computing power make it possible for us to tackle training of large, 3D datasets in minutes instead of days while keeping the data secure on the premises of the hospital.”

As security and governance of data in clinical environments is of the highest importance, and since AI models within the project will be built from patient data from across the entire UK-wide NHS system, the center has decided to employ federated learning, which keeps data within its own, secure domain, while allowing algorithms to be developed at multiple sites using data located at hospitals around the UK. The federated learning approach is designed to ensure a robust and secure system that more than complies with government data-privacy requirements.

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Color Doppler Ultrasound System
KC20
New
Brachytherapy Planning System
Oncentra Brachy
New
Silver Member
Mobile X-Ray Barrier
Lead Acrylic Mobile X-Ray Barriers

Print article

Channels

Radiography

view channel
:	Image: The AI model could be a valuable adjunct to human radiologists in breast cancer diagnoses and risk prediction (Photo courtesy of 123RF)

AI Model Predicts 5-Year Breast Cancer Risk from Mammograms

Approximately 13% of U.S. women, or one in every eight, are predicted to develop invasive breast cancer over their lifetime, with 1 in 39 women (3%) succumbing to the illness, according to the American... Read more

Nuclear Medicine

view channel
Image: The AI system uses scintigraphy imaging for early diagnosis of cardiac amyloidosis (Photo courtesy of 123RF)

AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging

Cardiac amyloidosis, a condition characterized by the buildup of abnormal protein deposits (amyloids) in the heart muscle, severely affects heart function and can lead to heart failure or death without... Read more

General/Advanced Imaging

view channel
Image: The CIARTIC Move self-driving mobile C-arm has received FDA clearance (Photo courtesy of Siemens)

Self-Driving Mobile C-Arm Reduces Imaging Time during Surgery

Intraoperative imaging faces significant challenges due to staff shortages and the high demands placed on surgical teams in the operating room (OR). A common challenge during many OR procedures is the... 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

Industry News

view channel
Image: Samsung Medison CEO Mr. Yongkwan Kim and Bracco Imaging CEO Dr. Fulvio Renoldi Bracco endorsed a MoU agreement (Photo courtesy of Bracco Group)

Samsung and Bracco Enter Into New Diagnostic Ultrasound Technology Agreement

Samsung Medison (Seoul, South Korea) and Bracco Imaging (Milan, Italy) have entered into a Memorandum of Understanding (MoU) agreement to pioneer a new area for diagnostic ultrasound devices and contrast agents.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.