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Find guidance to develop your AI. Get inspired by challenges facing individuals and organisations developing AI and how they overcame them.
Explaining decisions made with AI
This guidance by the ICO and The Alan Turing Institute aims to give organisations practical advice to help explain the processes, services and decisions delivered or assisted by AI, to the individuals affected by them
Explainability in data-driven health and care technology
Future Advocacy was commissioned by NHSX to produce this guidance on Principle 7 of the NHS Code of Conduct on data-driven health and care technology, which relates to the explainability of algorithms
Data Lens: a fast-access data search in multiple languages
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
Using machine learning to identify patients at risk of long term hospital stays
Case study: Investigating the benefits of artificial intelligence applied to hospital admissions data
AI Award research contract
This document provides the NHSX funding agreement for AI in Health and Care Award Phases 3 and 4.
AI regulation guide: considerations when developing AI products and tools
A guide from the multi-agency advisory service on the importance of the value proposition, determining a product’s intended use, and planning ahead to navigate the path to market.
AI regulation guide: using PICO to generate evidence for AI development
A guide from the multi-agency advisory service on generating the right evidence for your AI product for health and care, and mastering the PICO statement.
Digital Technology Assessment Criteria (DTAC)
The DTAC brings together legislation and good practice. The DTAC helps healthcare organisations assess suppliers to make sure new digital technologies meet our standards. For developers, it sets out what is expected for entry into the NHS
Using AI to identify tissue growth from CT scans
This 12-week artificial intelligence project investigated whether it was possible to identify organs and growths from CT scans and report on any changes to support radiologists.
Understand best practice in commissioning AI and get inspired by learning how organisations overcome challenges they faced adopting AI.
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