List of Regulations and Standards for Healthcare AI

List of regulations and standards pertaining to healthcare AI, at an international and EU level, as well as nationally in the UK and US.
What the Principles for Good Machine Learning Practice mean

gliff.ai’s interpretation of the principle to aid implementation by those who are developing machine learning medical devices!
UK to Pilot Algorithmic Impact Assessment (AIA) for Medical AI

Last week, the UK Government announced the pilot of an impact assessment tool to support the ethical development and adoption of artificial intelligence (AI) within healthcare.
Streamlining Clinical Research and AI Development using Junior Doctors in Medical Image Analysis

By using gliff.ai for medical image analysis, the OCTAHEDRON team has saved time in their AI development in four ways….
Durham Company Leads the way in Medical AI

“It is great to be leading the world in software development for AI…”
A Leap Forward in Best Practice for Medical AI Development

Some of the world’s most influential governments in medical regulation have released guidelines for machine learning practices used in the development of medical Artificial Intelligence (AI).
Developing AI to reach the real world

What good are ML models that aim to replicate the world’s greatest medical expertise, if the benefits of such discoveries can not be passed on to patients?
Using gliff.ai to Realise the Potential of OCT Data

The aim of the OCT data project is to create a ground-truth annotated dataset that would be utilised for the future development of fully automated AI tool capable of segmenting and quantifying different features in retina images and scans…
AI in MedTech — What are we actually doing?

The use of artificial intelligence in medicine and healthcare is thought to be capable of freeing up large quantities of an expert’s time by undertaking exacting and laborious work, saving significant sums of money, improving diagnostic outcomes and democratising medicine by making the world’s experts available globally inside a computer.
A response to “The Use of Artificial Intelligence in Health Care: Trustworthiness (ANSI/CTA-2090)

This ANSI standard, developed by the US Consumer Technology Association (CTA) Artificial Intelligence (AI) working group, was released in the last week of February 2021. To prove Trustworthiness of an AI in healthcare the standard usefully considers Human, Technical and Regulatory Trust separately but it may end up trying to do too much.