AI Research and Policy Resources
This section will be updated on a regular basis
The NHS AI Lab launched its new AI Dictionary - A simple dictionary of common AI terms with a health and care context, with basic search and navigation
The NHS Artificial Intelligence Laboratory (NHS AI Lab) was created to address that challenge by bringing together government, health and care providers, academics and technology companies. You can find more information on its mission on their website.
The Artificial Intelligence in Healthcare report provides an overview of national strategies, the uses and plans for AI in healthcare, and stakeholder views.
This study presents an overview of the development, adoption and use of Artificial Intelligence (AI) technologies and applications in the healthcare sector across all Member States. The main aim of this study was to support the European Commission in identifying and addressing any issues that might be hindering the wider adoption of AI technologies in the healthcare sector. The study will help the Commission to take action to achieve its long-term goal on the effective implementation of AI in the healthcare sector, based around common legislation and policy framework.
ICMRA Informal Innovation Network - Horizon Scanning Assessment Report - Artificial Intelligence (August 2021)
In this report, published in August 2021, the International Coalition of Medicines Regulatory Authorities (ICMRA) sets out recommendations to help regulators to address the challenges that the use of artificial intelligence (AI) poses for global medicines regulation.
The European Commission published its Resource Page on Artificial Intelligence where it is going to collect all the most relevant news on Artificial Intelligence in the frame of European policies and regulations.
Artificial intelligence (AI) has enormous potential for strengthening the delivery of health care and medicine and helping all countries achieve universal health coverage. This includes improved diagnosis and clinical care, enhancing health research and drug development and assisting with the deployment of different public health interventions, such as disease surveillance, outbreak response, and health systems management.
This WHO guidance document is the result of a two-year development process led by two Departments in the Science Division - Digital Health and Innovation and Research For Health. WHO has worked with a leading group of twenty experts to identify core principles to promote the ethical use of AI for health - these are the first consensus principles in this field.