Journals: AIBench for Constrained Generation of Health-Industry Information.

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But despite high theoretical accuracy, the tool proved impractical in real-world testing, frustrating both patients and nurses with inconsistent results and a general lack of harmony with on-the-ground practices.

It’s exceptionally difficult to test how a generative AI tool’s performance in the lab will translate to hospitals and outpatient clinics, and, perhaps more importantly, how the outcomes might trend over time.

It is great progress to see these comparisons head-to-head, but important for us to also remember how big the gap is between the contrived environment of medical question answering and actual clinical practice!

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Article Details

Author / Journalist: Kyle Wiggers

Category: Technology

Markets: United StatesIndiaThailand

Topics: Hugging Face Medicine Generative AI Healthcare AI

Source Website Secure: Yes (HTTPS)

News Sentiment: Neutral

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-04-18 @ 22:07:07 (2 weeks ago)

News Timezone: GMT -5:00

News Source URL: techcrunch.com

Language: English

Article Length: 649 words

Reading Time: 4 minutes read

Sentences: 24 lines

Sentence Length: 28 words per sentence (average)

Platforms: Desktop Web, Mobile Web, iOS App, Android App

Copyright Owner: © TechCrunch

News ID: 20723841

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About TechCrunch

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Official Website: techcrunch.com

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News Last Updated: 13 hours ago

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