NHS receives AI fund to improve healthcare efficiency

The National Health Service (NHS) in the UK is set to benefit from advanced AI technology, thanks to a new fund of £21 million. The AI Diagnostic Fund will enable NHS Trusts to apply for funding to expedite the deployment of AI imaging and decision support tools, with a focus on diagnosing conditions like cancer, strokes, and heart conditions.

The Health and Social Care Secretary, Steve Barclay, has committed to implementing AI stroke-diagnosis technology across all stroke networks by the end of 2023, a significant increase from the current coverage of 86%. This initiative aims to ensure faster treatment for stroke patients.

Barclay highlighted the transformative impact of AI on healthcare, emphasizing its ability to enhance patient care and reduce waiting times. The integration of AI tools in the NHS has already demonstrated positive results, such as reducing the time it takes to diagnose and treat stroke patients. AI has been shown to triple the chances of stroke patients living independently after a stroke.

The primary application of the AI Diagnostic Fund is the use of AI tools for analyzing chest X-rays, which are commonly used for diagnosing lung cancer, the leading cause of cancer-related deaths in the UK. With over 600,000 chest X-rays performed monthly in England, the widespread deployment of AI tools to NHS Trusts will assist clinicians in early cancer detection, ultimately improving patient outcomes.

The funding provided through the AI Diagnostic Fund will be available to support the implementation of any AI diagnostic tool that NHS Trusts wish to deploy. However, proposals must demonstrate value for money to receive approval.

To ensure the safe deployment of AI devices, the government has established the AI & Digital Regulation Service, which assists NHS staff in accessing necessary information and guidance. This service simplifies the understanding of AI regulations in the NHS, making it easier for developers and adopters of AI to bring their products to market.

The investment in AI technology is crucial as the NHS currently spends £10 billion annually on medical technology, and the global market is projected to reach £150 billion next year. Access to innovative technologies promises significant benefits for patients, including disease prevention, early diagnosis, effective treatments, and faster recovery.

Posted in

Aihub Team

Leave a Comment





AI in Agriculture

AI in Agriculture

The Future of Intelligent Content Management, Semantic AI, and Content Impact

The Future of Intelligent Content Management, Semantic AI, and Content Impact

The Future of Enterprise Content in the Era of AI

The Future of Enterprise Content in the Era of AI

The Art of the Practical - Making AI Real

The Art of the Practical – Making AI Real

AI: Making Data Protection Simpler

AI: Making Data Protection Simpler

Will Generative AI Aid Instead of Replace Workers?

Will Generative AI Aid Instead of Replace Workers?

UK: AI’s Impact on Workplace Safety

UK: AI’s Impact on Workplace Safety

Stay Abreast of Laws Restricting AI in the Workplace

Stay Abreast of Laws Restricting AI in the Workplace

Oracle introduces generative AI capabilities to support HR functions and productivity

Oracle introduces generative AI capabilities to support HR functions and productivity

Discovering hidden talent: How AI-powered talent marketplaces benefit employers

Discovering hidden talent: How AI-powered talent marketplaces benefit employers

Understanding Machine Learning Algorithms

Understanding Machine Learning Algorithms

Understanding Generative Adversarial Networks (GANs)

Understanding Generative Adversarial Networks (GANs)

The Impact of AI on the Job Market and Future of Work

The Impact of AI on the Job Market and Future of Work

The Basics of Artificial Intelligence

The Basics of Artificial Intelligence

Reinforcement Learning: Training AI Agents to Make Decisions

Reinforcement Learning: Training AI Agents to Make Decisions

Natural Language Processing Unleashing the Power of Text

Natural Language Processing Unleashing the Power of Text

How AI is Transforming Industries

How AI is Transforming Industries

Exploring Neural Networks and Deep Learning

Exploring Neural Networks and Deep Learning

Ethical Considerations in Artificial Intelligence

Ethical Considerations in Artificial Intelligence

Computer Vision and Image Recognition in AI

Computer Vision and Image Recognition in AI

ARTIFICIAL INTELLIGENCE IN LOGISTICS

ARTIFICIAL INTELLIGENCE IN LOGISTICS

On Artificial Intelligence - A European approach to excellence and trust

On Artificial Intelligence – A European approach to excellence and trust

AI in Healthcare Advancements and Applications

AI in Healthcare Advancements and Applications

AI in Financial Services: Opportunities and Challenges

AI in Financial Services: Opportunities and Challenges

AI in Customer Service: Improving User Experience

AI in Customer Service: Improving User Experience

AI and Robotics: Synergies and Applications

AI and Robotics: Synergies and Applications

AI and Data Science: Bridging the Gap

AI and Data Science: Bridging the Gap

Top 10 emerging AI and ML uses in data centres

Top 10 emerging AI and ML uses in data centres

Piero Molino, Predibase: On low-code machine learning and LLMs

Piero Molino, Predibase: On low-code machine learning and LLMs

OpenAI’s first global office will be in London

OpenAI’s first global office will be in London