腎臓がんの検知率を向上させるための人工知能の活用:体系的なレビューとメタ解析のためのプロトコル
Ojone Ofagbor1, Gaurika Bhardwaj2, Yi Zhao3
1Department of Urology, Norfolk and Norwich University Hospital, Norwich, UK OJ_OFAGBOR@doctors.org.uk.
BMJ open
|August 31, 2025
まとめ
人工知能 (AI) は,医療画像から腎臓がんの診断の精度を向上させることができます. この体系的見直しでは,AIを評価する
科学分野:
- 放射線科
- 医療用イメージング
- 人工知能
背景:
- 腎臓細胞癌 (RCC) の発生率増加が画像検査で検出されました.
- 良性腎臓の過剰診断と過剰治療は 患者の罹患率につながります
- 腎臓の質量の正確な特徴づけは,患者のアウトカムにとって極めて重要です.
研究 の 目的:
- 人工知能 (AI) の診断精度を体系的に検討する.
- 良性腫瘍と悪性腫瘍を区別するAIの役割に関する現在の証拠を要約します.
主な方法:
- 主要なデータベース (PubMed,MEDLINE,Embase,Web of Science,Scopus,Cochrane) の体系的な文献検索が行われている.
- 2016年7月から2025年6月にかけて発表された腎臓腫瘍診断の横断イメージングにおけるAIを評価した研究を含む.
- QUADAS-2とAI報告チェックリストを用いた品質評価
主要な成果:
- このセクションは,研究が完了した時に記入されます.
結論:
- AIは腎臓の質量に対する放射線診断の強化の可能性を示しています.
- AIの決定的な役割を確立し,診断の精度を向上させるためにさらなる研究が必要です.
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