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Updated: May 10, 2026

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在指导方针一致的前列腺特异抗原测试中检索增强代大语言模型的性能:与初级临床医生进行比较研究.

Joshua Yi Min Tung1,2, Quan Le1, Jinxuan Yao1

  • 1Data Science and Artificial Intelligence Laboratory, Singapore General Hospital, Singapore, Singapore.

Journal of medical Internet research
|November 19, 2025
PubMed
概括

与初级临床医生相比,一种新的提取增强生成 (RAG) 系统显著改善了前列腺特异抗原 (PSA) 测试建议. 这种人工智能工具为早期前列腺癌检测的准则遵守提供了有希望的解决方案.

关键词:
在这里,我们可以看到AIAIAI.法学士 (LLM) 是一个专业.人工智能的人工智能是人工智能.准则协同书的指导方针年轻的临床医生.大型语言模型

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Genetic polymorphisms in drug targets have emerged as critical determinants of interindividual variability in drug response and toxicity. Pharmacogenomic investigations increasingly focus on identifying these variations to personalize and optimize therapeutic interventions. A drug target may be a receptor, enzyme, or signaling protein involved in pharmacologic responses or disease-related pathways. While early pharmacogenetic studies focused primarily on drug metabolism, current research...