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GPT-4 在医疗摘要方面准确性有所提高,但仍会出现幻觉

一项研究评估了大语言模型在生成急诊科就诊摘要方面的有效性。与 GPT-3.5 Turbo 相比,GPT-4 表现出更高的准确性,但两个模型在事实一致性方面都存在问题,GPT-4 生成的摘要中有 42% 出现了幻觉,47% 的病例遗漏了相关的临床信息。 AI

影响 大语言模型在医疗文档记录方面显示出潜力,但临床使用需要显著提高准确性和完整性。

排序理由 该集群包含一篇评估大语言模型在特定任务上性能的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

GPT-4 在医疗摘要方面准确性有所提高,但仍会出现幻觉

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该集群包含一篇评估大语言模型在特定任务上性能的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

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

    "评估大型语言模型以起草急诊科就诊摘要" GPT-4 比 GPT-3.5-turbo 更准确,但 42% 的摘要存在问题

    "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…