相关实验视频

Updated: May 6, 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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会议介绍:生物医学AI/ML中的公平性和偏见:定义目标并将其付诸实践

Nicole Martinez-Martin1, Abdoul Jalil Djiberou Mahamadou2, Madelena Ng3

  • 1Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California 94025, USA, nicolemz@stanford.edu.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|February 27, 2026
PubMed
概括

确保人工智能和机器学习 (AI/ML) 模型在不同人群中是公平和公正的,在生物医学应用中仍然是一个挑战. 解决研究人员对偏见和公平的不同观点对于道德AI/ML开发至关重要.

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