緊急毒理学における人工知能の応用:進歩と課題
Lorraine Pei Xian Yong1,2, Joshua Yi Min Tung3, Nicole Mun Teng Cheung1,2
1Urgent Care Centre, Alexandra Hospital, Singapore, Singapore.
Journal of medical Internet research
|August 22, 2025
まとめ
人工知能 (AI) は,緊急毒理学において,より迅速な診断と,よりよい患者の治療結果を有することを示しています. しかし,データ品質と実装などの課題は,広範な臨床使用のために対処する必要があります.
科学分野:
- 緊急医療
- 毒理学について
- 人工知能
背景:
- 緊急毒理学は急性中毒の迅速な意思決定を要求する.
- 時間とリソースの制限は 伝統的な診断と治療方法に 挑戦しています
- 人工知能 (AI) は緊急医療において潜在的可能性を秘めているが,毒理学におけるその役割は十分に研究されていない.
研究 の 目的:
- 緊急の毒理学におけるAIの応用に関する視点を提供すること.
- この分野におけるAIの重要な進歩,課題,将来の方向性を強調する.
主な方法:
- この観点では,現在と潜在的な AI アプリケーションについて議論します.
- 緊急毒理学のAIに関する既存の文献と専門家の意見をレビューしています.
主要な成果:
- AIは毒性学的予測を改善する大きな可能性を示しています.
- 重要な課題はデータ品質,規制問題,実施の障壁などです.
結論:
- これ以上の研究,規制枠組み,統合戦略は不可欠です.
- 臨床実務におけるAIの有効かつ倫理的な実施には,特定された障壁に対処する必要があります.
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