Robert Whitfield MD argues that AI is beneficial in medicine for analyzing large, complex datasets that are difficult for clinicians to parse. He endorses using AI to produce overviews or rough drafts to guide problem-solving and emphasizes breaking large problems into smaller, manageable tasks.
Yeah. I get asked routinely about, is AI good or bad? And what are we going to do with testing? I don't want anybody to perceive this the wrong way, but the way I look at it for medicine, just like Dr. Pennsylvania just describes it as very complex. There's too much data for her and I to understand. So we need as much help understanding that to be able to provide a solution to whatever problem, you know, we're faced with. So I don't ever, like, look the gift horse in the mouth. Like, if it's going to help analyze large amounts of data to provide a overview, maybe a specific answer, maybe just give us the, you know, rough draft, so to speak, of what's going on, that's totally fine. Because, you know, I. I had a lot of mentors, but I have this axiom. I don't know if, honestly I came up with it or somebody else told me, but, you know, if you have a huge problem, obviously, like you are just describing, you have to break it up into a series of smaller ones to attack and make progress. If you don't, it becomes an insurmountable, you know, quest.
