image-150-64c8cd514b55a.webp

image-151-64c8cd518a917.webp

group-1000002623-64c8cd4f8d576.webp

image-146-64c8cd50567b2.webp

image-147-64c8cd501e463.webp

image-148-64c8cd50b2c5c.webp

image-149-64c8cd50d627e.webp

BBC-Logo.webp

The-Independent-Logo.webp

Featured in

AI biomarkers, built for real-world impact and clinical trials. Meet us at ASCO 2026 | Booth #IH12.

Qure.ai Recognized Among TIME’s 100 Most Influential Companies of 2025

Qure.ai partners with Microsoft to increase access to its lung cancer detection and management suite in the U.S.

qTrack

Over the past 10 years, artificial intelligence (AI) has become one of the fastest-growing sectors in healthcare. There are now numerous new technologies designed to cut costs and improve diagnoses and treatment pathways. However, there is significant scepticism amongst National Health Service (NHS) staff regarding the usefulness of AI and it’s cost to the NHS. This has likely resulted in the underuse and slow adoption of software that may revolutionize our healthcare system and ensure its continued survival and effectiveness. Several governing bodies have put forward guidance on the safe and effective adoption of AI tools, but this rarely covers the reality of selecting and deploying new software. This article set out clear guidance on the practicalities and pitfalls of deploying digital solutions in healthcare, using the example of a deep learning algorithm designed to improve the accuracy of chest X-ray (CXR) interpretation in the emergency department.

Artificial intelligence in the stretched NHS

There are many rewarding aspects of being a clinician in the NHS. Still, most healthcare staff are familiar with the frustrations of an understaffed and overwhelmed workplace, where delivering optimal care for patients can, at times, feel impossible. Staff often spend a large proportion of their time completing patient records, looking up imaging results, and ordering tests, instead of talking with patients. With an ageing population and increasingly stretched resources, the NHS must modernize and be more efficient. Artificial intelligence (AI) can potentially provide much-needed solutions and revolutionize practice. There is a lack of understanding, though, and a scepticism, of these new technologies, and the expense they may impose on a healthcare service that is already stretched. Governing bodies have now produced multiple recommendations and guidance for using AI in healthcare. It is worth familiarizing yourself with some of these guidelines if you intend to deploy AI solutions, but the practicalities and common pitfalls of adopting new software are rarely specified in sufficient detail. This article uses the recent real-life example of the successful deployment of an AI tool trained to interpret chest X-rays (CXRs) in an NHS trust. We aim to give practical tips on how you can use AI in the workplace. We use an adapted version of the Adopter’s guidance list set out by NHS AI and Digital Regulations service to provide a framework for AI software deployment. We have developed a 5-step guide to illustrate the different stages of an AI project (Fig 1). This article provides an overview of our project, which is currently ongoing, and is designed to offer practical advice to clinicians wanting to use digital solutions in clinical practice.

A 5-step guide to the adoption of AI tools in clinical practice.

large_Deploying artificial intelligence software in an NHS trust a how-to guide for clinicians.webp

medium_Deploying artificial intelligence software in an NHS trust a how-to guide for clinicians.webp

small_Deploying artificial intelligence software in an NHS trust a how-to guide for clinicians.webp

thumbnail_Deploying artificial intelligence software in an NHS trust a how-to guide for clinicians.webp

Deploying artificial intelligence software in an NHS trust a how-to guide for clinicians.webp

Deploying artificial intelligence software in an NHS trust: a how-to guide for clinicians 

Our mission is to use artificial intelligence to make Healthcare more affordable and accessible. Learn more about Qure here.

About Us | Qure AI | Learn more about us here

Join the conversation on AI in healthcare with Qure.ai's blog. Get expert insights, tips, and the latest trends shaping the future of medical technology.

Expert AI Healthcare Blog: Insights, Tips & Trends | Qure.ai

To know more about our AI solutions that are helping provide accessible and affordable healthcare, write to us at partner@qure.ai.

Contact Us | Qure AI

Dive into the world of evidence-based medical AI with Qure.ai. Our research and case studies showcase the effectiveness and advancement of AI in healthcare.

Evidence-Based AI in Medicine: Research & Case Studies | Qure.ai

Qure ai is on a mission to provide accessible, affordable, &amp; timely assistance to healthcare professionals across the globe with the help of AI &amp; deep learning

Qure AI | AI assistance for Accelerated Healthcare

Learn about Qure.ai's impact on healthcare through AI innovations. Read how our solutions are making a difference in patient outcomes globally.

Transforming Healthcare: Our Impact with AI Solutions | Qure.ai

Explore the latest in AI healthcare technology with Qure.ai's insights. Discover how artificial intelligence is improving diagnostics and patient care.

Innovative AI Healthcare Insights & Trends | Qure.ai

Legal Universal Terms Data Processing Agreement Legal Disclaimer Acceptable Use Policy V2.0.0 dt: 30.09.2022 V1.1.0 dt: 30.06.2022 UNIVERSAL TERMS (v2.0.0 dated 30.09.2022) YOUR RELATIONSHIP WITH QURE Your use of Qure’s products, software (including but not limited to any and all versions, forms or renditions of qXR, qER, qCT-Lung, qVH, qMSK qTrack), applications such as the

Legal | Qure AI

Stay updated with the latest news and developments in AI-driven healthcare from Qure.ai. Read about our breakthroughs, events, and industry recognition.

Latest AI Healthcare News & Updates | Qure.ai

Privacy Policy Your privacy is important to us. Privacy Notice Effective Date: 1st September 2022 This Privacy Policy explains how we use the personal information that Qure.ai Technologies Private Limited, its subsidiaries and affiliates collects or generates both in relation to our Website https://qure.ai/ along with any webpages and portals thereof and our mobile application

Evidence (Publications & White Papers)