The Evidence Space
This podcast series features experts from a variety of disciplines to share knowledge among healthcare professionals and the general public. As digital health technologies and engineering develop at an increasing pace, it is necessary to adapt to the new changes and challenges that will have a major impact on our lives. Delving into evidence-based discussions, our featured experts and thought leaders, across a range of topics, will illustrate what appropriate evidence for widescale clinical adoption looks like; along with how to go about collecting it to ensure new technologies are clinically effective and offer economic value.
The Evidence Space
Artificial intelligence: hype or hope?
•
The IET
•
Season 1
•
Episode 3
Carrying out a clinical trial of artificial intelligence, the use of design to eliminate bias and health data inequalities.
With Prof Alastair Denniston and Dr Xiaoxuan Liu
In this week’s episode, we talk about clinical trials for artificial intelligence. Our guests, Prof Alastair Denniston and Dr Xiaoxuan Liu, discuss why you would want to carry out a clinical trial for an artificial intelligence intervention. We also look at how clinical trials rely on good design, to ideally eliminate bias, but also on consistent reporting standards so that the results of the trial, whether good or bad, are made widely available.