保守的な歯科学と内歯科学における人工知能と機械学習の役割: レビュー
Rajinder K Bansal1, Ashtha Arya1, Birmohan Singh2
1Department of Conservative Dentistry and Endodontics, Shree Guru Govind Singh Tricentanary Dental College, Hospital and Research Institute, Gurugram, IND.
Cureus
|August 25, 2025
まとめ
人工知能 (AI) と機械学習 (ML) は 診断と治療の効率を向上させることで 保守的な歯科と内歯科を変革しています データの制限や解釈性などの課題は 広く採用され 歯科ケアが改善されるように 取り組まなければなりません
科学分野:
- 歯科科学
- コンピュータ科学
- 人工知能
背景:
- 人工知能 (AI) と機械学習 (ML) は,歯科においてますます活用されています.
- これらの技術は 保守的な歯科や内歯科に 潜在的進歩をもたらします
研究 の 目的:
- 保守的な歯科と内歯科におけるAIとMLの応用,方法論,利点,課題をレビューする.
- AI/MLが診断の正確性,治療計画,処置効率に 革命をもたらす方法を探る
主な方法:
- 保守的な歯科と内歯科におけるAIとMLの応用に関するナラティブレビュー.
- 画像分析のためのコンボリューションニューラルネットワーク (CNN) のようなAI駆動システムの分析.
- 予測モデル,自然言語処理,生成対抗ネットワークの探索
主要な成果:
- AIは,虫歯,病変,根管形態の検出のための歯科画像 (X線写真,CBCT) の分析に優れています.
- AIは 影の決定や 作業長さの測定などのタスクを簡素化し 誤差を軽減します
- 予測モデルにより 虫歯と内歯合併症のリスクを評価することで 個別化された治療計画が可能になります
結論:
- 人工知能と機械学習は 歯科における正確で効率的な 患者中心のソリューションを提供します
- データの制限,解釈性,コスト,倫理的な懸念などの課題に取り組むことは極めて重要です.
- 将来のAIを臨床ワークフローに統合することで 歯科医療の質と治療の成功が向上する見込みです
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