妊娠中の糖尿病の治療における人工知能:体系的なレビュー

Rawan AlSaad¹, Ali Elhenidy², Aliya Tabassum³

¹AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.

Journal of diabetes science and technology

|August 26, 2025

まとめ

人工知能 (AI) は,妊娠糖尿病 (GDM) の予測とケアを改善することを約束しています. これらのAIツールの臨床統合には,さらなる検証と前向きな研究が不可欠です.

科学分野:

医療情報学
コンピューター医学
医療における人工知能

背景:

人工知能 (AI) は,妊娠糖尿病 (GDM) の治療に先端的なデータベースのアプローチを提供します.
AIはGDMの早期発見,パーソナライズされた管理,介入戦略を容易にする.

研究の目的:

GDMケアにおけるAIモデルの適用を体系的に検討し,統合する.
GDMのスクリーニング,診断,管理,結果予測におけるAIの役割を検討する.
研究設計,データ型,AIモデル,検証,パフォーマンスメトリックを分析する.

主な方法:

2025年2月までの6つの電子データベースのシステム検索
対象となる研究126件を対象にデータ抽出と品質評価を行った.
バイアスのリスクの評価に使用される修正された QUADAS-2 ツール.

主要な成果:

ほとんどの研究 (75%) は遡及的設計を使用し,85%はGDMの予測に焦点を当てた.
クラシックな機械学習,特にロジスティック回帰とランダムフォレストが一般的であった (84%).
内部検証は一般的であった (68%),外部検証は稀であった (6%);報告の欠陥がある中等から良好な品質.

結論:

AIはGDMの予測,スクリーニング,管理を向上させる大きな可能性を秘めています.
より広範な検証,モデル解釈の改善,将来性研究が不可欠です.
人工知能技術を臨床実用化するには現在の限界を克服する必要があります

キーワード:

人工知能糖尿病妊娠糖尿病妊娠女性の健康

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