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AI for Prognosis & Prediction

In the following video, Prof Ben Van Calster discusses 5 central topics when examining the use of AI to inform clinical decisions. These topics cover the importance of methodology, the need for evidence of performance, expected heterogeneity in performance, model and data availability, and the difficulty of implementation in clinical practice. Examples in diagnosis, prognosis and prediction are given.
In the following video, Dr Nicholas Cummins presents "Artificial Intelligence: Challenges and Ethical Concerns", in which he introduces some of the key concepts relating to what AI really means, different means to achieving it, and outline key challenges and ethical considerations. 
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