The Solaris of Artificial Intelligence in Research – Part 2

People often ask me about the most breathtaking thing about the AI’s behaviour. Well, first of all, I was, quite frankly, amazed that it had worked at all.

Having such a scarce instrumentarium, I wasn’t sure if I could emulate an environment that could facilitate the conversation and to bring any meaningful values back.

But when the first shock of it working worn off, I was baffled by the variety of different suggestions proposed by the algorithm.

There are people cleverer than me who can set up a complex processing software that will check for a given hypothesis. But I wanted for the AI to come up with a completely novel hypothesis and to test it out. In fact, I wanted it to come up with a number of new ideas, concepts and suggestions and to test them all out in turn, so that, at the end of the day, I could browse through these that work on paper and judge their clinical feasibility.


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The Solaris of Artificial Intelligence in Clinical Research

The modern world collects an obscenely humongous amount of information about humans, their interactions, patterns of behaviour, health states and service use. Connected to super-cluster servers and cloud storages are endless streams of data coming from our phones, watches, cameras, fridges and toasters, most of which we submit voluntarily, with varying degree of awareness of what happens to them later on.


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Frideswide: A New Artificial Intelligence Algorithm to Deliver a Safer Care

Clinical audit is a quality improvement process aiming to find a solution to the problem or to make the health system more efficient and safe. The continuous cycle of audits and re-audits ensures that the hospital improves its delivery of care on a regular basis.


This comes at a huge cost.

An audit needs to be completed manually by a large number of staff involved in entering the data, analysing it, reporting and implementing its findings. The hours spent on compiling and audit are hours lost to the frontline health service and that puts an extra burden on a cash-strapped health service.


A helping hand of a computer.

What if we could use a super smart machine to take the burden off our NHS? Three young scientists from the University of Bristol (UK) developed a new Artificial Intelligence (AI)-based algorithm that can achieve just that.

The findings of their simulation experiment have just been published in the International Journal of Surgery earlier this month. In this hot off the press article, they proved that the algorithm makes the process quicker, cheaper and pain-free.


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