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Is anyone else caught in a weird Venn diagram of Imposter Syndrome and furious indignation and disdain for actual imposters in your field? (self.asklemmy)

submitted 10 months ago by medgremlin to c/asklemmy@lemmy.ml

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Context: I'm a second year medical student and currently residing in the deepest pit in the valley of the Dunning-Kruger graph, but am still constantly frustrated and infuriated with the push for introducing AI for quasi-self-diagnosis and loosening restrictions on inadequately educated providers like NP's from the for-profit "schools".

So, anyone else in a similar spot where you think you're kinda dumb, but you know you're still smarter than robots and people at the peak of the Dunning-Kruger graph in your field?

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[-] medgremlin 1 points 10 months ago* (last edited 10 months ago)

Here's an article on one of the studies performed last year that showed that ChatGPT has, at best, a 64% chance of putting the correct diagnosis in its differential, and a 39% chance of getting the correct diagnosis as the top of their differential. Link to article: https://jamanetwork.com/journals/jama/fullarticle/2806457

Here's the article for the study they did using pediatric case studies: https://arstechnica.com/science/2024/01/dont-use-chatgpt-to-diagnose-your-kids-illness-study-finds-83-error-rate/ I was unable to get a link to the full PDF of the study in JAMA Pediatrics, but this article is a decent summary of it. The pediatric diagnosis success rate was 17%, and of the incorrect diagnoses, a substantial portion of them weren't even in the same organ system as the correct diagnosis.

As it stands, I would trust ChatGPT to be a scribe for a physician provided there is a sufficient speech-recognition system in place, but 64% in the best case scenarios is not a passing score for diagnosis of real humans.

this post was submitted on 19 Jan 2024

193 points (98.0% liked)

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