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Updated: May 14, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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人工智能驱动的心血管风险预测使用NLP和大型语言模型用于运动员个性化医疗

Ang Li1, Yunxin Wang2, Hongxu Chen3

  • 1Graduate School of Arts and Science, Dongshin University, Naju, 58245, South Korea.

SLAS technology
|April 11, 2025
PubMed
概括

本研究介绍了使用自然语言处理和大型语言模型进行高级心血管疾病检测的AI框架. 它显著提高了早期诊断准确性,用于诸如心律失常和高伤心肌病等疾病.

关键词:
检测心律失常的检测方式医疗保健中的人工智能生物医学文本挖掘 生物医学文本挖掘在运动员中出现过高心肌病.大型语言模型 (LLM)自然语言处理 (NLP) 是一种自然语言处理.个性化医疗是个性化的医疗.

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