Develop AI

National Commission into the Regulation of AI in Healthcare: Recommendations for a future regulatory framework

Major UK review of future healthcare AI regulation and assurance. It covers safe and effective AI-enabled medical devices alongside accountability, transparency, clinical practice, organisational governance and system-wide assurance. It is particularly relevant to NHS policy and governance audiences because it recommends a more proportionate, lifecycle-based and system-wide approach. Published 10 September 2026

The public’s views on the regulation of AI in health care

Commissioned as the research partner to the MHRA's independent National Commission into the Regulation of AI in Healthcare, this report brings together findings from our annual polling of public attitudes towards AI with new findings from a UK-wide public deliberative exercise exploring what the public thinks regulators should prioritise and what is needed to build and maintain public trust in AI regulation. Published 10 September 2026

A scoping review of explainable artificial intelligence for medical multi modal data

Review of emerging trends like visual grounding (linking textual justifications directly to specific image regions) and model reasoning show promise, a critical gap remains in explaining the underlying reasoning process. Standardised evaluation is missing in the majority of studies relying solely on qualitative measures. Only a minority of studies achieve good reproducibility with public codebase. Published 15 July 2026.

The BIG Argument - a whole systems approach to AI safety cases

The Balanced, Integrated and Grounded (BIG) argument is a comprehensive approach to safety cases for the assurance of AI and autonomous systems including those utilising frontier and general-purpose AI models. Published 13 March 2026

AI Digital Regulations Service

Learn what regulations to follow and how to evaluate effectiveness, whether you're a 'developer' of AI and digital technology or an 'adopter' who will buy or use them in health and social care.

Procurement and early deployment of artificial intelligence tools for chest diagnostics in NHS services in England: a rapid, mixed method evaluation

Artificial Intelligence (AI) may support accurate, efficient radiology diagnostics. However, little is known about implementing AI in clinical settings. In 2023, NHS England launched a programme funding 12 networks of 66 NHS Trusts to implement AI for chest diagnostics, including lung cancer. Published November 2025

AI Digital Regulations Service: Guidance for Adopters

Understand what regulations and best practice principles to follow when adopting your digital health technology.

AI Opportunities Action Plan

Department for Science, Innovation and Technology commissioned an independent AI Opportunities Action Plan which set out recommendations for Government and AI adoption across the economy to boost growth whilst improving products and services. The Plan set out 50 policy recommendations across three broad headings of: Laying the Foundations to Enable AI, Changing Lives by Embracing AI and Securing our Future with Homegrown AI and Securing our Future with Homegrown AI. Published January 2025.

Digital Technology Assessment Criteria (DTAC)

NHS England has completed a provisional review of DTAC to consider how the efficiency and efficacy can be improved, hearing evidence and recommendations with industry and NHS providers.

Introduction to AI Assurance

An introductory guide for practitioners interested in finding out how assurance techniques can support the development of responsible AI.

Regulations and guidance for developers

Understand what regulations and best practice principles to follow when developing your digital health technology.

The known lessons for approaching AI

6 March 2025: This report explores five key lessons for NHS leaders, drawing on learnings from past technology implementations to ensure AI delivers real value for patients and staff. By learning from previous implementations, trust leaders can avoid common pitfalls and make smarter decisions about AI adoption.

A buyer's guide to artificial intelligence in health and care

1 April 2020: The Buyer’s Guide to AI in Health and Care sets out the important questions you need to consider in order to undertake robust procurement exercises and make well-informed buying decisions about AI products

Using AI to support NHS Resolution with negligence claims prediction

10 May 2021:Exploring how AI might help the NHS to understand and identify risk, preventing harm and saving valuable resources.

Data Lens: a fast-access data search in multiple languages

25 March 2021: A pilot project for the NHS AI Lab Skunkworks team, Data Lens brings together information about multiple databases, providing a fast-access search in multiple languages.

The Topol Review: Preparing the healthcare workforce to deliver the digital future

The Topol Review explores how to prepare the healthcare workforce, through education and training, to deliver the digital future. It makes recommendations that will enable NHS staff to make the most of innovative technologies such as genomics, digital medicine, artificial intelligence and robotics to improve services. 2023

Good Machine Learning Practice for Medical Device Development: Guiding Principles

27 October 2021: Ten guiding principles that can inform the development of Good Machine Learning Practice (GMLP).