Absolutely agree that this is a fast-moving area, so we're not aiming to teach them specific details for anything. Instead, our goals are to demystify the ML and AI approaches, so that the students understand that rather than being oracles, these technologies are the result of a process.
We will explain the data landscape in medicine - what is available, good, bad and potentially useful, and then spend a lot of time going through examples of what people are doing right now, and what their experiences are. This includes things like ethics and data protection of patients.
Hopefully that's enough for them to approach new technologies as they are presented to them, knowing enough to ask about how it was put together. In an ideal world, we will inspire the students to think about engaging with these developments and be part of the solution in making it safe and effective.
This is the first time we're going to try running this course, so we'll find out very quickly if this is useful for students or not.
We will explain the data landscape in medicine - what is available, good, bad and potentially useful, and then spend a lot of time going through examples of what people are doing right now, and what their experiences are. This includes things like ethics and data protection of patients.
Hopefully that's enough for them to approach new technologies as they are presented to them, knowing enough to ask about how it was put together. In an ideal world, we will inspire the students to think about engaging with these developments and be part of the solution in making it safe and effective.
This is the first time we're going to try running this course, so we'll find out very quickly if this is useful for students or not.