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Updated: Feb 21, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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エージェント性メモリ拡張リトリーバリングと,医学的な質問応答タスクのためのエビデンスグラウンド

Shuyue Jia1, Subhrangshu Bit2, Varuna H Jasodanand3

  • 1Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA.

International journal of medical informatics
|February 19, 2026
PubMed
まとめ

大型言語モデル (LLM) に構築された新しいツールを使用するエージェントシステムは,医療の質問応答タスクのパフォーマンスを改善しています. このAIシステムは,ツールとエビデンスを統合することにより,医学的な推論を強化し,主要な試験のスタンドアロンLLMを上回ります.

キーワード:
AIエージェント,AIエージェント大規模な言語モデル医療に関する質問と回答道具の使用 道具の使用

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