Diagnostic Performances of GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro in “Diagnosis Please” Cases

Yuki Sonoda, Ryo Kurokawa, Yuta Nakamura, Jun Kanzawa, Mariko Kurokawa, Yuji Ohizumi, Wataru Gonoi, Osamu Abe
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Abstract

Backgrounds Large language models (LLMs) are rapidly advancing and demonstrating high performance in understanding textual information, suggesting potential applications in interpreting patient histories and documented imaging findings. LLMs are advancing rapidly and an improvement in their diagnostic ability is expected. Furthermore, there has been a lack of comprehensive comparisons between LLMs from various manufacturers.
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GPT-4o、Claude 3 Opus 和 Gemini 1.5 Pro 在 "请诊断 "病例中的诊断性能
背景大语言模型(LLMs)发展迅速,在理解文本信息方面表现出很高的性能,这表明它有可能应用于解释病人病史和记录的成像结果。LLMs 发展迅速,其诊断能力有望得到提高。此外,目前还缺乏对不同制造商生产的 LLM 进行全面的比较。
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