Machine Learning and Augmented Intelligence in Clinical Medicine

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This lecture provides an in-depth exploration of the intersection between machine learning and healthcare, focusing on the integration of augmented intelligence to enhance clinical decision-making. We will begin by defining machine learning, its relevance and key concepts, and explore current use cases in medicine. Following this, we'll delve into different machine learning techniques such as supervised, unsupervised, and deep learning, including their clinical applications in predictive...