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GPT-4 shows accuracy gains in medical summaries but still hallucinates

By PulseAugur Editorial · [1 sources] ·

A study evaluated the effectiveness of large language models in generating emergency department encounter summaries. GPT-4 demonstrated higher accuracy compared to GPT-3.5 Turbo, but both models struggled with factual consistency, with GPT-4 producing hallucinations in 42% of summaries and omitting relevant clinical information in 47% of cases. AI

IMPACT LLMs show promise in healthcare documentation but require significant improvements in accuracy and completeness for clinical use.

RANK_REASON The cluster contains a research paper evaluating LLM performance on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GPT-4 shows accuracy gains in medical summaries but still hallucinates

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12 / 100
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The cluster contains a research paper evaluating LLM performance on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    "Evaluating large language models for drafting emergency department encounter summaries" GPT-4 was more accurate than GPT-3.5-turbo, but 42% of summaries had ha

    "Evaluating large language models for drafting emergency department encounter summaries" GPT-4 was more accurate than GPT-3.5-turbo, but 42% of summaries had hallucinations and 47% omitted relevant clinical information. # LLM # AI # Healthcare https:// doi.org/10.1371/journal.pdi…

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