List of regulations and standards pertaining to healthcare AI, at an international and EU level, as well as nationally in the UK and US.
gliff.ai’s interpretation of the principle to aid implementation by those who are developing machine learning medical devices!
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.
By using gliff.ai for medical image analysis, the OCTAHEDRON team has saved time in their AI development in four ways….
“It is great to be leading the world in software development for AI…”
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).
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?
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…
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.
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.