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Artificial Intelligence (AI)

Picture

Artificial Intelligence (AI) is a broad term for digital technology that can perform tasks that require "intelligence", such as reasoning, making decisions, learning from mistakes, communicating, and problem solving.

Frequently asked questions (FAQs) on generative Artificial Intelligence ​

A series of FAQ's of different aspects of using AI which may help you.  Please click on the link above. 

AI links and resources

AI knowledge repository - NHS Digital

​Artificial Intelligence (AI) has the potential to make a significant difference in health and care settings. We’re already seeing numerous applications of AI technology, and more work is underway to fully harness its benefits and use AI safely and ethically at scale. AI as a specialised technology differs in many ways to other medtech technologies. Addressing these AI considerations is the focus of the NHS AI team.

AI guides by University Hospitals Plymouth NHS Trust

Many of us know what Artificial Intelligence (AI) is, but may not know about the concepts behind the terminology which is becoming more frequently heard in conversations around the types of AI which are commonly deployed.
A basic understanding of the principles on how each technology works can be crucial in deciding which technology you wish to utilise and the considerations and safeguards you need to put in place.
These guides are part of a developing series (of which there will be more) which introduce:
  • the fundamental concepts of AI
  • considerations when planning to utilise technologies related to each concept
  • real-world applications of each concept with AI technology
Each guide has a general or basic version and one aimed at clinicians or specifically focussed on clinical settings. They currently include:
  • Machine learning
  • AI robotics in healthcare
  • Generative AI
  • Large Language AI models (General Overview only)
  • Natural language processing
  • Computer vision
  • Deep learning
  • Microsoft CoPilot User Guide (note some elements are specific to University Hospitals Plymouth NHS Trust)​
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University AI Guides

Sheffield Hallam University - ​Making the most of Generative AI
Leeds University - Generative AI guidance for taught students
Sheffield University - Generative AI - Guidance and resources to help you to get the most out of Generative AI within and alongside your studies.

NHS

  • The Topol Review (2019).pdf
  • NHS AI and Digital Regulations Service for health and social care: Website
  • NHS AI and Digital Regulations Service for health and social care: All adopters' guidance
  • NHS Confederation: AI in healthcare: navigating the noise
  • NHS England: Guidance on the use of AI-enabled ambient scribing products in health and care settings
  • NHS Transformation Directorate: Artificial Intelligence
  • NHS England > Artificial intelligence (AI) and machine learning​
  • NHS Digital > Understand AI
  • ​NHS Digital > AI in practice
  • NICE > Use of AI in evidence generation: NICE position statement ​

Copyright

  • CLA: Principles for Copyright and Generative AI
  • NHS England Knowledge and Library Services: Copyright

AI Governance & Ethics

  • Information Commissioner's Office: How to use AI and personal data appropriately and lawfully
  • NHS Transformation Directorate: Information Governance Guidance: Artificial Intelligence​

​UK Government

  • HM Government: National AI Strategy
  • Department for Science, Innovation and Technology: Implementing the UK’s AI regulatory principles: initial guidance for regulators
  • Department for Science, Innovation and Technology: International AI Safety Report
  • Government Digital Service: AI Playbook for the UK Government
  • HM Government: The National Archives: Data Protection Act 2018
  • House of Lords Library: Artificial intelligence: Development, risks and regulation

Artificial intelligence (AI) tools 

  • see link - Types of searches Resources | Knowledge and Library Services

Environmental impact
  • AI Is Accelerating the Loss of Our Scarcest Natural Resource: Water : Forbes (25 February 2024)
  • The growing energy footprint of artificial intelligence : Joule (18 October 2023)

​NHS Futures: AI Virtual Hub

This workspace is dedicated to bringing people in the NHS together to accelerate the development and deployment of safe, ethical AI in health and care. 

Artificial Intelligence (AI) has the potential to make a significant difference in health and care settings. We’re already seeing numerous applications of AI technology, and more work is underway to fully harness its benefits and use AI safely and ethically at scale. AI as a specialised technology differs in many ways to other medtech technologies. Addressing these AI considerations will be the focus of the AI team.
Our mission is to embed responsible, ethical and sustainable AI into NHS services to improve patient care, optimise resources, and empower NHS staff.
Get involved by and share your knowledge, experiences, ideas and concerns with other likeminded individuals in the AI community. 
  • NHS Futures AI Virtual Hub

AI at EBSCO

Responsible Research, Responsible AI. EBSCO aims to harness the responsible, equitable use of AI to seamlessly connect each unique researcher and library to the world’s most trustworthy content and discovery.
  • AI at EBSCO

AI Hub for Healthcare Education ​

​The Virtual and Hybrid Learning Faculty provides resources focusing on and exploring how AI can drive future focused evidence-based health and care education.
  • AI Hub for Healthcare Education

AI in healthcare

Thinking Critically about AI in Healthcare Jessica Morley, May 2023
Annotated bibliography on key issues around AI in healthcare.
Principles for artificial intelligence (AI) and its application in healthcare BMA, October 2024 (22 page report)
​AI knowledge repository NHS England 2025
The NHS AI Lab : NHS England
Artificial intelligence in healthcare: Applications, risks, and ethical and societal impacts : European Parliament (June 2022)
NHS Strategy
  • AI in healthcare: navigating the noise | NHS Confederation September 2024
  • AI and the NHS: is it the silver bullet that will improve the health service’s productivity? Jessica Morley, Nuffield Trust Guest Blog 2024
  • Preparing the NHS for the AI Era: A Digital Health Record for Every Citizen Tony Blair Institute, 2024
  • AI for healthcare (Imperial College London)
  • AI in health care: what do the public and NHS staff think? The Health Foundation, 2024
  • Priorities for an AI in health care strategy. The Health Foundation, 2024
  • Understanding healthcare workers’ confidence in AI. NHS AI Lab & Health Education England, 2022
  • Developing healthcare workers’ confidence in AI. NHS AI Lab & Health Education England, 2022
Patient Safety and Information
  • ​​Patient Safety and Artificial Intelligence: Opportunities and Challenges for Care Delivery. Institute for Healthcare Improvement, 2024
  • Artificial Intelligence in Health Care: Implications for Patient and Workforce Safety. Institute for Healthcare Improvement, 2024
    This IHI Innovation Report presents a detailed review of three primary applications of generative artificial intelligence (genAI) in health care, including benefits and potential patient safety risks and unintended consequences resulting from genAI tools.
  • Balancing the risks and benefits of AI in the production of health information. Patient Information Forum, 2024
    As the landscape evolves, health information producers are investigating the risks and benefits of using AI in their everyday work. Developed in collaboration with PIF’s AI working group, this position statement aims to help members understand the AI landscape and how to manage it.
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