AI is a term that is used a lot and became a buzzword with no exception in design world. But soon, designers will work with AI instead of against it. This will make them better and smarter at their jobs. The advent of Artificial Intelligence (AI) has generated a mixture of exhilaration and apprehension, as it holds the potential to transform our world. Despite its potential, AI remains largely enigmatic, and the exact ramifications of its integration into the realm of design are yet to be fully understood and determined.

Informing clinical decision making through insights from past data is the essence of evidence-based medicine. Traditionally, statistical methods have approached this task by characterising patterns within data as mathematical equations, for example, linear regression suggests a'line of best fit'. Through'machine learning' (ML), AI provides techniques that uncover complex associations which cannot easily be reduced to an equation. For example, neural networks represent data through vast numbers of interconnected neurones in a similar fashion to the human brain. This allows ML systems to approach complex problem solving just as a clinician might -- by carefully weighing evidence to reach reasoned conclusions.