Artificial Intelligence: Methods, Clinical Decision Support and Ethics

Abstract

Artificial intelligence and machine learning are one of our era's most exciting methodological developments. It holds the potential to transform healthcare into a system where humans and machines work together to provide better treatment for our patients. In this talk, I give an overview of the core concepts of artificial intelligence, particularly contemporary deep-learning methods, to give researchers an appreciation of how artificial intelligence can be harnessed to support clinical decisions. I will clarify and emphasise the data quality and the human expertise needed to build robust clinical artificial intelligence models in clinical populations. As artificial intelligence is a rapidly evolving field, I take the opportunity to iterate important ethical principles to guide science and medicine as it moves into an artificial intelligence-enhanced future.

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