デジタルバイオマーカーと人工知能: 炎症性腸疾患のパーソナライズされた管理における新たな境界
Diletta De Deo1,2, Arianna Dal Buono1,2, Roberto Gabbiadini1
1IBD Center, Department of Gastroenterology, IRCCS Humanitas Research Hospital, Milan, Italy.
Frontiers in immunology
|August 20, 2025
まとめ
人工知能 (AI) は,診断と治療を改善することで,炎症性腸疾患 (IBD) の管理に希望を示しています. 広範な臨床使用のためにさらなる検証と統合が必要である.
科学分野:
- 胃腸内科
- 医療情報学
背景:
- 人工知能 (AI) は,胃腸内科,特に炎症性腸疾患 (IBD) の管理にますます使用されています.
- AIはIBDの診断,モニタリング,治療を改善する可能性を秘めています.
研究 の 目的:
- IBDのAIアプリケーションの最近の進歩をレビューする.
- IBDの研究と臨床実践におけるAIの課題と機会を特定する.
主な方法:
- 物語の文献のレビューが行われました.
- IBDのケアにおけるAI,機械学習 (ML),ディープラーニング (DL) に関する最近の研究も含まれています.
主要な成果:
- AIは,内視鏡評価,組織学,イメージング,疾患予測,治療応答の有用性を示しています.
- ほとんどのAIモデルは 初期段階にあり 広範な臨床検証が欠けている.
- 主な障壁はデータ問題,限られた一般化能力,規制上の懸念などです.
結論:
- 人工知能はIBDのケアを 変革する大きな可能性を秘めています
- 多分野間の協力,多様な検証,ワークフローの統合は AI のインパクトに不可欠です.
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