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This talk with David Clifton will introduce new developments in the rapidly growing field of “Clinical AI”.
As healthcare data are acquired in ever-growing quantities, new classes of AI algorithms are required to help humans understand and model these complex datasets, which now include recordings from millions of patients, which can be massively multivariate and multimodal.
Discover how data scientists can benefit from having “AI to help train the AI”; that is, machine learning networks involved in constructing new machine learning networks. Learn about successful projects that have been translated into healthcare practice, as well as ongoing international developments in the field, with examples from collaborative work between clinicians and data scientists.
