遺伝的医療人工知能の臨床応用のための倫理的ガバナンスに関する専門家コンセンサス (2025年版)
Meng-Chun Gong1,2, Yong-Hui Ma3, Hui Pan4
1Guangzhou Medical University Women and Children's Medical Center,Guangzhou 511400,China.
Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
|February 11, 2026
まとめ
生成医療人工知能 (GMAI) は,臨床上大きな利点をもたらしますが,倫理的な課題も抱えています. このコンセンサスは,GMAIのガバナンスフレームワークを確立します.
科学分野:
- 医療における人工知能
- 医療倫理 医療倫理について
- 臨床ガバナンス 臨床ガバナンス
背景:
- 生成医療人工知能 (GMAI) は,医療において急速に進歩し,診断と治療に変革をもたらしています.
- GMAIのアプリケーションには,診断の提案,治療の最適化,医師と患者のコミュニケーションの強化が含まれます.
- 新しい倫理的な課題は,GMAIの偏見,説明責任,プライバシー,文化的適応性などのオープンな性質から生じます.
研究 の 目的:
- GMAIの倫理的なガバナンスにおける遅滞に対処するために.
- 臨床実務におけるGMAIのための標準化されたガバナンスフレームワークを確立する.
- 中国の文脈におけるGMAIの研究と応用における倫理的審査のためのガイドラインを提供すること.
主な方法:
- 多分野の専門家パネル (医療倫理,臨床医学,AI,病院管理,公衆衛生,法律) を集めました.
- "予防・制御・修復"のガバナンス・ロジックを利用した.
- 国際規範と国内政策を統合した2回の専門家協議を実施しました.
主要な成果:
- GMAIの倫理的なガバナンスに関するコンセンサスを作成しました.
- GMAIの臨床倫理レビューのための参考文献を提供しました.
- 中国の要求に合わせた権威あるガイドラインの枠組みを確立した.
結論:
- GMAIの倫理的なガバナンスには,新たな課題に対処するための標準化された枠組みが必要です.
- 開発されたコンセンサスは,GMAIの倫理的な臨床応用のための実践的なガイドを提供します.
- このフレームワークは,医療における責任あるイノベーションとGMAIの導入をサポートしています.
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