Dr. Dhruv Khullar

speaker

279 appearances 1 recordings 1 series first heard Jun 2026 last heard 23 Jun

Dr. Dhruv Khullar’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.

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On the Mind with Dr. Daniel Knoepflmacher · On AI and Mental Health: It's Already Here. Are We Ready? · 23 Jun 2026 podcast

First the anecdotes and then the observational studies and now the randomized control trials that GLP wants seem to have potential to treat things like alcohol use disorder and opioid use disorder.

And these medications in some form have been around for twenty years now.

And so are there any number of other medications that we could get to before a decade or two after they are approved by the FDA and they could potentially be helping people right now?

So I'm I'm

Pretty optimistic about that.

And then the last space, I've talked about diagnosis, but I think there's room for AI to help beyond just diagnosis to things like understanding which treatments are going to potentially be helpful for which patients.

We've talked about personalized medicine for many years now, but maybe this is how things actually end up coming to fruition in a way that we're able to much better match particular medications to people beyond the use case.

cases that we do it now, which is, you know, our large in oncology, let's say, where you see a particular mutation and and you target the tumor in that way.

But maybe that could hold true for any number of other parts of medicine as well.

And so in a way, sometimes it's hard to talk about AI and medicine because it does and is so many different things, but sometimes it's helpful to break down into different buckets.

Well, the title itself was, I think, in some ways provocative, but there's a lot of things that doctors and other clinicians do that AI is nowhere near being able to do and I think won't be able to do for the foreseeable future.

Just to point on the premise of the question.

So this specific AI that I went to see, it was developed at Harvard, and it was incredibly impressive in being able to crack some of the

most complex cases that are written down in the Newland Journal of Medicine.

And a couple of the things that I came to think beyond the impressiveness was that one of the reasons that it was so effective is because the cases were curated in a particular way and presented to the AI.

And it's not clear to me that if the cases were not curated, if the labs weren't given, the right ones weren't given and the images provided in the right sequences and so on, that it would perform just as well as it did.

And I think sometimes we underestimate how much of what we do as doctors is not just trying to nail the diagnosis, but curating the story, understanding which facts are important, dismissing ones that are not important.

A lot of what we're doing is often fact gathering and trying to understand the story and put into a coherent narrative.

And so I think that's one thing that I think just i it's not clear to me that AI in real world cases is going to be as good as what does in let's say board exams.

The second thing I would say is that AIs often have what are called kind of jagged intelligence.

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