結核教育とカウンセリングのための人工知能: 修正されたデルフィーコンセンサス
J N Ngiam1, M C Y Koh1, L D'Ambrosio2
1Division of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore.
まとめ
人工知能のチャットボットは,一般的な結核 (TB) の質問に正確に答えることができますが,時代遅れの情報を提供することができます. 医療従事者は現在の 個別化された結核治療に不可欠です
科学分野:
- 医療情報学
- 医療における人工知能
- 公衆衛生
背景:
- 効果的な結核治療には 健全な健康教育と 患者のカウンセリングが必要です
- 現在のカウンセリングは 時間のかかるもので 結核の伝播,リスク,病気,予防,診断,治療を扱っています
- 人工知能のチャットボットのパフォーマンスを 専門家の意見と比較することは 結核患者のサポートに不可欠です
研究 の 目的:
- 結核患者教育のためのAIチャットボットの質を評価する.
- 世界的な結核専門家のコンセンサスと 結核に関するAIによる情報を比較する
- 結核の治療と制御における AI チャットボットの有用性を決定する.
主な方法:
- GPT-4を使用して,TBガイドラインで訓練されたAIチャットボット (TBCA) が開発されました.
- TBCAは,結核患者と介護者から寄せられた39の一般的な質問でテストされました.
- 世界的な結核専門家は 変更されたデルフィーコンセンサスアプローチを用いて 対応の質を評価した.
主要な成果:
- TBCAは結核の疫学,臨床表現,予防,診断,治療の分野において正確な答えを提供しました.
- 回答は情報源を引用し,適切な方法で利用者を医療提供者に指示しました.
- 時代遅れの情報 (例えば,多剤耐性結核の定義) と診断テストの混乱が指摘された.
結論:
- 大規模な言語モデルは,正確な一般的なTB情報を提供しますが,現在の文脈が欠けているか,時代遅れである可能性があります.
- AIのチャットボットのアドバイスは 一般的に安全で有用ですが 専門医の助言の代わりにはなりません
- 医療従事者は,最新の個別化された結核治療の助言を確実にするために不可欠です.
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