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抑うつや不安に対する人工知能による心理的介入の体系的レビュー:包括的な分析
Amey C Joshi1, Ajinkya S Ghogare2, Priya B Madavi3
1Department of Psychiatry, Dr. Rajendra Gode Medical College, Amravati, Maharashtra, India.
Industrial psychiatry journal
|August 27, 2025
まとめ
人工知能 (AI) のチャットボットは 鬱や不安の管理に有望である. これらの対話型AIエージェントは 心理療法を効果的に強化し メンタルヘルス管理のためのアクセシブルな自己援助の選択肢を提供します
科学分野:
- 精神 的 な 健康
- 人工知能
- デジタル・ヘルス
背景:
- 鬱病と不安は 世界的に大きな健康問題であり 障害の重荷を重くしています
- 費用や地理的状況や 汚名を伴う障壁が 適切な心理的介入へのアクセスを妨げています
- 人工知能 (AI) は早期発見と パーソナライズされたメンタルヘルスケアのための 潜在的な解決策を提供します
研究 の 目的:
- 鬱や不安を特定し管理するための AI 対応のチャットボットを体系的に検討する.
- 人工知能のチャットボットの効果と信頼性を評価する.
主な方法:
- 10件の研究を体系的にレビューした.
- 大半の試験はランダム化制御試験でした.
- コンピューターやスマートフォンを介してアクセスできる対話型AIエージェント (チャットボット) は,調査された主なAI方法でした.
主要な成果:
- 人工知能のチャットボットは 心理療法を強化する上で 重要なポジティブな成果を示しました
- ほとんどの研究 (71. 67%) はバイアスのリスクが低く,信頼性を示した.
- チャットボットによる治療は 鬱や不安の症状を軽減し 治療の連携を促すのに 図書館療法より効果的でした
結論:
- 人工知能を搭載したチャットボットは 鬱や不安の管理に役立つ 効果的なツールです
- 心理療法におけるAIの拡張は,臨床症状の軽減の可能性を示しています.
- チャットボットは従来の方法よりも 実行可能で効果的なメンタルヘルスサポートの手段です
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