[email protected]

+44 (0)20 3773 4895

logologologo
  • About Us
    • The College
    • Advisory Board
    • Our Faculty and Team
    • Intelligence Hub
  • Topic Areas
    • Obesity Care
    • Digital Health
    • Behaviour Change
  • Courses
    • CPD Short Courses
    • PGCert in Obesity Care
    • PGCert in Digital Health
  • Apply
    • Postgraduate Qualification in Obesity Care
    • PGCert/PGDip/MSc in Digital Health
    • FAQs
  • Resources
    • News
    • Our Publications
    • Monthly News Bulletins
    • Funding Options
  • Contact Us
    • Contact Us
  • Student Login

No products in the cart.

logologologo
  • About Us
    • The College
    • Advisory Board
    • Our Faculty and Team
    • Intelligence Hub
  • Topic Areas
    • Obesity Care
    • Digital Health
    • Behaviour Change
  • Courses
    • CPD Short Courses
    • PGCert in Obesity Care
    • PGCert in Digital Health
  • Apply
    • Postgraduate Qualification in Obesity Care
    • PGCert/PGDip/MSc in Digital Health
    • FAQs
  • Resources
    • News
    • Our Publications
    • Monthly News Bulletins
    • Funding Options
  • Contact Us
    • Contact Us
  • Student Login

No products in the cart.

  • About Us
    • The College
    • Advisory Board
    • Our Faculty and Team
    • Intelligence Hub
  • Topic Areas
    • Obesity Care
    • Digital Health
    • Behaviour Change
  • Courses
    • CPD Short Courses
    • PGCert in Obesity Care
    • PGCert in Digital Health
  • Apply
    • Postgraduate Qualification in Obesity Care
    • PGCert/PGDip/MSc in Digital Health
    • FAQs
  • Resources
    • News
    • Our Publications
    • Monthly News Bulletins
    • Funding Options
  • Contact Us
    • Contact Us
  • Student Login
December 19, 2023 by Nicholas Feenie Digital Health 0 comments

AI-enhanced x-ray trials initiated in NHS Scotland for early lung cancer detection

The University of Glasgow has recently initiated a pivotal trial using artificial intelligence (AI) to enhance chest X-ray analysis for the early detection of lung cancer within the NHS Greater Glasgow and Clyde (NHSGGC). This innovative approach, named the Radiograph Accelerated Detection and Identification of Cancer of the Lung (RADICAL) trial, is being conducted at Inverclyde Royal Hospital, Vale of Leven Hospital, and Paisley’s Royal Alexandria Hospital.

Lung cancer, a major health concern in Scotland, accounts for approximately 5,500 new cases annually and is a leading cause of death in the region. Early diagnosis is crucial; if lung cancer is identified at stage 2, over 35% of patients have the potential to survive beyond five years, with this figure rising to 55% if diagnosed at stage 1.

The trial involves the analysis of chest X-rays using the qXR system, a collaborative effort between Qure.ai, NHSGGC-hosted West of Scotland Innovation Hub, the University of Glasgow, and the Scottish government. In this trial, nearly 250 patients across three hospitals have had their chest X-rays analysed by qXR in near real-time.

Qure.ai’s qXR technology functions by automatically sorting standard chest X-rays and identifying abnormalities such as masses or lung nodules. This allows for the prioritisation of patient cases, thus facilitating quicker and more accurate diagnosis.

Following a comprehensive, nationally coordinated evaluation of AI in radiology, this technology aims to demonstrate its clinical effectiveness, cost-efficiency, and enhanced patient outcomes. The qXR system is set to be integrated into approximately 70,000 chest X-ray examinations annually.

David Lowe, Professor of Health and Innovation at the University of Glasgow and Emergency Medicine Consultant at NHSGGC, emphasised the significance of early cancer detection. He stated that identifying cancer sooner can expedite further imaging and subsequent treatment, ultimately benefiting the entire patient care pathway.

Professor Julie Brittenden, Director of Research and Innovation at NHSGGC, highlighted the role of AI in assisting clinicians in treating patients. She noted that AI technology ensures patients are directed onto the most suitable treatment pathway as swiftly as possible.

Furthermore, the University of Glasgow’s Digital Health Validation Lab is providing vital support for qXR as part of the Living Laboratory for Precision Medicine. This initiative offers academic leadership and support to deliver the trial in conjunction with NHSGGC and Qure.ai, thereby furthering advancements in digital health and precision medicine.

PREV
NEXT

Related Posts

Healthcare professional using digital health tools.
April 25, 2025
New AI initiative in Devon aims to improve stroke treatment outcomes by analysing extensive medical data
Read More
Elderly man holding his wrist in pain.
October 8, 2024
£1.2 million grant fuels development of AI platform for early arthritis detection
Read More
AI Chatbot concept image
July 28, 2026
People Like AI Mental Health Chatbots. Whether They Help Is Another Question
Read More
Doctors navigating digital health tools
May 26, 2023
Digital Transformation in Healthcare: Navigating Challenges and Embracing Change
Read More

CCH LINKS

FAQ
HOW TO APPLY
ACADEMIC ADVISORY BOARD
FACULTY AND STAFF
TERMS & CONDITIONS
CCH EDUCATION SERVICES

OUR PARTNERS

NOF
Haringey Obesity Alliance
Skills Active
CPD UK
ASO
REPS
Southwark
DIT
Healthcare Uk
OAC

ABOUT CCH

CONTACT US
[email protected]
+44 (0)20 3773 4895
Technopark, 90 London Road, LONDON, SE1 6LN
 

© The College of Contemporary Health