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Human-in-the-loop Evaluation of medical large language models: A bilingual framework for clinical accuracy,saftey, hallucination detection , ARABIC-ENGLISH medical AI
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An AI research paper on Human-in-the-loop Evaluation of medical large language models: A bilingual framework for clinical accuracy,saftey, hallucination detection , ARABIC-ENGLISH medical AI.
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Chinese explanation / 中文解读
中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
Large Language Models (LLMs) are increasingly being applied to healthcare-related tasks, including medical question answering, clinical documentation, medical translation, patient education, information retrieval, and healthcare workflow support. Despite their impressive linguistic capabilities, fluent model outputs cannot be assumed to be clinically accurate, safe, complete, or appropriate for a specific medical context.
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