List of regulations and standards pertaining to healthcare AI, at an international and EU level, as well as nationally in the UK and US.
The process of high-quality AI development does not need to be esoteric – and neither should it be. It’s just science. With bells on it.
gliff.ai’s interpretation of the principle to aid implementation by those who are developing machine learning medical devices!
How do we develop AI for real-life healthcare and medical uses? This is where other key aspects of Web3 become central components of the gliff.ai’s software.
Using end-to-end encryption within AI development will help you towards meeting standards for privacy and security. And more.
gliff.ai has Lift Off! Among the many exciting things in 2021, none are as impactful as the official launch of gliff.ai’s platform in July. After nearly a year of carefully designing and building our open-source software, gliff.ai is now available to anyone who wants to build high-quality and auditable datasets for their AI. Thank you […]
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?
Have you ever wondered what it’s like working at gliff.ai? We asked our Software Engineer, Dr Phil Jackson, about his experience.
We at gliff.ai believe that data privacy and security is paramount for the future of FATEful AI.
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.