As healthcare data are acquired in ever-growing quantities, new classes of AI algorithm are required to help humans understand and model these complex datasets, which now include recordings from millions of patients. This seminar will introduce new developments in the rapidly-growing field of (non-imaging) “Clinical AI”, demonstrating how data scientists can benefit from having “AI to help train the AI”; that is, machine learning networks involved in the construction of new machine learning networks. It will demonstrate successful projects that have been translated into healthcare practice, and highlight on-going international developments in the field, with examples from collaborative work between our lab and the Big Data Institute.
