• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer

  • Opinion
  • Health IT
    • Behavioral Health
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Patient Engagement
    • Population Health Management
    • Revenue Cycle Management
    • Social Determinants of Health
  • Digital Health
    • AI
    • Blockchain
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • M&A
  • Value-based Care
    • Accountable Care (ACOs)
    • Medicare Advantage
  • Life Sciences
  • Research

RSNA: NVIDIA Partners With NHS Trusts to Deploy AI Platform in UK Hospitals

by Syed Hamza Sohail 11/28/2022 Leave a Comment

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print
NVIDIA Partners With NHS Trusts to Deploy AI Platform in UK Hospitals

What You Should Know:

– A consortium of 10 National Health Service Trusts — the publicly funded healthcare system in England — is now deploying the MONAI-based AIDE platform across four of its hospitals, providing artificial intelligence (AI)-enabled disease-detection tools to healthcare professionals serving 5 million patients a year. 

– AIDE, short for AI Deployment Engine, is expected to be rolled out next year across 11 NHS hospitals serving 18 million patients, bringing AI capabilities to clinicians. It’s built on MONAI, an open-source medical imaging AI framework co-developed by NVIDIA and the AI Centre, which allows AI applications to interface with hospital systems. 

AI-Driven Healthcare Platforms

Introduced in 2019, MONAI is reducing the complexity of medical workflows from R&D to the clinic. It allows developers to easily build and deploy AI applications, resulting in a model ready for clinical integration, and making it easier to interpret medical exams and unlock new levels of knowledge about patients.

MONAI provides deep learning infrastructure and workflows optimized for medical imaging. MONAI, with more than 650,000 downloads, is used by leading healthcare institutions Guy’s and St Thomas’ Hospital and King’s College Hospital in the U.K., for its ability to harness the power and potential of medical imaging data to simplify and streamline the process for building AI models. “Across the healthcare ecosystem, researchers, hospitals and startups are realizing the power of incorporating a streamlined AI pipeline into their work,” said Haris Shuaib, AI transformation lead at the AI Centre. “The open-source MONAI ecosystem is standardizing hundreds of AI algorithms for maximum interoperability and impact, enabling their deployment in just a few weeks instead of three-to-six months.”Built in collaboration with the AI Centre for Value-Based Healthcare — a consortium of universities, hospitals and industry partners led by King’s College London and Guy’s and St Thomas’ NHS Foundation Trust — AIDE brings the capabilities of AI to clinicians. This solution equips clinicians with improved information about patients, making healthcare data more accessible and interoperable, in order to improve patient care.

AIDE, short for AI Deployment Engine, is expected to be rolled out next year across 11 NHS hospitals serving 18 million patients, bringing AI capabilities to clinicians. It’s built on MONAI, an open-source medical imaging AI framework co-developed by NVIDIA and the AI Centre, which allows AI applications to interface with hospital systems. 

Together, MONAI and AIDE enable safe and effective validation, deployment and evaluation of medical imaging AI models, which the NHS will apply in diagnosing and treating cancers, stroke, dementia and other conditions. The platform is being deployed at the following facilities: Guy’s and St Thomas’s, King’s College Hospital, East Kent Hospital University and University College London Hospitals NHS Foundation Trusts.

“Deployment of this infrastructure for clinical AI tools is a hugely exciting step in integrating AI into healthcare services,” said James Teo, professor of neurology and data science at King’s College Hospital NHS. “These platforms will provide a scalable way for clinicians to deploy healthcare AI tools to support decision-making to improve the speed and precision of patient care. This is the start of a digital transformation journey with strong, safe and open foundations.” 

The AI Center has already developed algorithms to improve the diagnosis of COVID-19, breast cancer, brain tumor, stroke detection and dementia risk. AIDE connects approved AI algorithms to a patient’s medical record seamlessly and securely, with the data never leaving the hospital trust. Once the clinical data has been analyzed, the results are sent back to the electronic healthcare record to support clinical decision-making. This provides another valuable data point for clinical multidisciplinary teams when reviewing patients’ cases. It’s hoped that AIDE can support speeding up this process to benefit patients.

“The AI Centre has done invaluable work towards integrating AI into national healthcare. Deploying MONAI is a critical milestone in our journey to enable the use of safe and robot AI innovations within the clinic,” said Professor Sebastien Ourselin, deputy director of the AI Centre. “This could only be achieved through our strong partnerships between academic and industry leaders like NVIDIA.”

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Tagged With: AI, algorithms, Artificial Intelligence, Breast Cancer, cancer, Deep Learning, dementia, digital transformation, Healthcare Data, interoperability, model, NHS, Partners, Patient Care, risk

Tap Native

Get in-depth healthcare technology analysis and commentary delivered straight to your email weekly

Reader Interactions

Primary Sidebar

Subscribe to HIT Consultant

Latest insightful articles delivered straight to your inbox weekly.

Submit a Tip or Pitch

Featured Insights

2025 EMR Software Pricing Guide

2025 EMR Software Pricing Guide

Featured Interview

Paradigm Shift in Diabetes Care with Studio Clinics: Q&A with Reach7 Founder Chun Yong

Most-Read

Medtronic to Separate Diabetes Business into New Standalone Company

Medtronic to Separate Diabetes Business into New Standalone Company

White House, IBM Partner to Fight COVID-19 Using Supercomputers

HHS Sets Pricing Targets for Trump’s EO on Most-Favored-Nation Drug Pricing

23andMe to Mine Genetic Data for Drug Discovery

Regeneron to Acquire Key 23andMe Assets for $256M, Pledges Continuity of Consumer Genome Services

CureIS Healthcare Sues Epic: Alleges Anti-Competitive Practices & Trade Secret Theft

The Evolving Role of Physician Advisors: Bridging the Gap Between Clinicians and Administrators

The Evolving Physician Advisor: From UM to Value-Based Care & AI

UnitedHealth Group Names Stephen Hemsley CEO as Andrew Witty Steps Down

UnitedHealth CEO Andrew Witty Steps Down, Stephen Hemsley Returns as CEO

Omada Health Files for IPO

Omada Health Files for IPO

Blue Cross Blue Shield of Massachusetts Launches "CloseKnit" Virtual-First Primary Care Option

Blue Cross Blue Shield of Massachusetts Launches “CloseKnit” Virtual-First Primary Care Option

Osteoboost Launches First FDA-Cleared Prescription Wearable Nationwide to Combat Low Bone Density

Osteoboost Launches First FDA-Cleared Prescription Wearable Nationwide to Combat Low Bone Density

2019 MedTech Breakthrough Award Category Winners Announced

MedTech Breakthrough Announces 2025 MedTech Breakthrough Award Winners

Secondary Sidebar

Footer

Company

  • About Us
  • Advertise with Us
  • Reprints and Permissions
  • Submit An Op-Ed
  • Contact
  • Subscribe

Editorial Coverage

  • Opinion
  • Health IT
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Population Health Management
    • Revenue Cycle Management
  • Digital Health
    • Artificial Intelligence
    • Blockchain Tech
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • Value-Based Care
    • Accountable Care
    • Medicare Advantage

Connect

Subscribe to HIT Consultant Media

Latest insightful articles delivered straight to your inbox weekly

Copyright © 2025. HIT Consultant Media. All Rights Reserved. Privacy Policy |