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Updated: Jul 10, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

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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可解释的人工智能和机器学习:面对传染病的新方法挑战了挑战

Daniele Roberto Giacobbe1,2, Yudong Zhang3,4, José de la Fuente5,6

  • 1Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.

Annals of medicine
|November 27, 2023
PubMed
概括

人工智能 (AI) 和机器学习 (ML) 正在改变医学,特别是传染病. 可解释的AI/ML模型对于理解疾病诊断,管理和抗菌素耐药性预测至关重要.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.可以解释性的解释性.传染病是一种传染性疾病.可以解释的解释性.机器学习是机器学习.

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