AI生成モデルによるリッジ増強の最適化：テクニカルノートを伴う症例報告

Vasilios Alevizakos¹, Stephan Knörzer², Roman Krammer²

¹Research Centre for Digital Technologies in Dentistry and CAD/CAM Danube Private University Krems Austria.

|December 22, 2025

Abstract:

AI-generated 3D models in ridge augmentation improve surgical accuracy, reduce bone exposure, and enhance patient understanding through visual planning. They support, but do not replace, clinical expertise. Ongoing validation, staff training, and ethical oversight are essential to ensure safe, effective, and equitable implementation in daily practice.

キーワード:

歯槽堤増強術人工知能コーンビームCT 歯科インプラント 3次元印刷

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Survival Tree

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Constructing a survival tree begins...