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Updated: Jan 11, 2026

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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确定长期病缺的风险因素:使用可解释的人工智能方法进行基于注册表的研究

Anniina Anttila1, Mikko Nuutinen2, Riikka-Leena Leskelä2

  • 1Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland anniina.anttila@finla.fi.

BMJ open
|November 17, 2025
PubMed
概括

机器学习发现了长时间缺病的新预测因素,包括疼痛和睡眠时间,提高了超越传统因素的预测准确度. 这些发现有助于规划减少工作残疾风险的干预措施.

关键词:
人工智能的人工智能职业健康服务 职业健康服务预防性医学 预防性医学

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