#43- AI Hype Vs Real-World Medicine episode artwork

EPISODE · May 7, 2026 · 27 MIN

#43- AI Hype Vs Real-World Medicine

from Code & Cure · host Vasanth Sarathy & Laura Hagopian

What if the headline “AI outperformed doctors” is asking the wrong question? When a Harvard emergency triage study makes waves, it’s easy to focus on the most dramatic takeaway. But the real story is more complicated: what did the study actually test, and what parts of emergency medicine did it leave out?We slow down the hype and take a closer look at what AI can and cannot tell us about clinical decision-making. We unpack how today’s AI excitement fits into a much longer history of bold promises, from the early optimism of the Dartmouth Conference to modern “AI summers” driven by funding, media attention, and novelty. They also explore what an “AI winter” really means, why confidence can collapse quickly, and how today’s ecosystem makes exaggeration easier to spread and harder to correct.Then we turn to the realities of emergency care. ER triage is not about guessing one diagnosis or producing a neat top-five list. It is about urgency, risk, and judgment under uncertainty: identifying life-threatening possibilities, deciding what tests come next, and determining who needs immediate care, admission, or safe discharge. The conversation also highlights a major limitation of text-only AI evaluations: medical charts are already shaped by human clinicians, meaning the model may be relying on information that required real-world expertise to gather in the first place.For anyone interested in trustworthy AI in healthcare, medical diagnosis, health misinformation, and the responsible use of large language models in clinical settings, this episode offers a clearer way to think beyond the headline.References:Performance of a large language model on the reasoning tasks of a physicianBrodeur et al.Science (2026)Did AI really beat ER doctors at ER triage?Nope. A look at an interesting AI study that has led to some very overhyped headlines.Kristen PanthaganiYou can know Things, Substack (2026)Credits:Theme music: Nowhere Land, Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0https://creativecommons.org/licenses/by/4.0/

Episode metadata supplied by the publisher feed · Published May 7, 2026

Embed this episode

What if the headline “AI outperformed doctors” is asking the wrong question? When a Harvard emergency triage study makes waves, it’s easy to focus on the most dramatic takeaway. But the real story is more complicated: what did the study actually test, and what parts of emergency medicine did it leave out? We slow down the hype and take a closer look at what AI can and cannot tell us about clinical decision-making. We unpack how today’s AI excitement fits into a much longer history of bold pro...

Distinct summary based on available episode metadata or transcript content.

NOW PLAYING

#43- AI Hype Vs Real-World Medicine

0:00 27:06

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Code & Cure?

This episode is 27 minutes long.

When was this Code & Cure episode published?

This episode was published on May 7, 2026.

Can I download this Code & Cure episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!