Deep Learning For Image Analysis In Clinical Trials: Background & Current Applications

Over the past ten years, artificial intelligence methods have largely supplanted classical computer vision techniques for applications ranging from facial recognition to written character translation to medical image interpretation. These methods provide significant advantages in terms of implementation speed, flexibility and accuracy. However, there are also potential pitfalls associated with AI approaches that must be understood to be avoided. This talk will discuss classical methods for automated image interpretation and will contrast them with the AI techniques that have largely replaced them, while providing a general overview of what these algorithms are, how they are implemented and how they function.