人工知能のチャットボットによる磁気共鳴画像の解釈:比較研究
Xuexue Bai1, Ming Feng2, Wenbin Ma1
1Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifuyuan Hutong, Dongcheng District, Beijing, 100730, China.
Scientific reports
|August 25, 2025
まとめ
人工知能 (AI) のチャットボットは,複雑な磁気共鳴画像 (MRI) 報告を患者にとって簡素化することができます. Deepseek-R1は腫瘍MRIの報告の解釈に優れた精度と可読性を示しましたが,医師の監督は不可欠です.
科学分野:
- 放射線科 と 医学 画像
- 医療における人工知能
- 医療 コミュニケーション
背景:
- 複雑な放射線報告の解釈は 患者の理解を困難にします
- 人工知能 (AI) のチャットボットは,医療コミュニケーションの改善の可能性を示しています.
- 磁気共鳴画像 (MRI) レポートの翻訳におけるAIチャットボットの有効性は十分に確立されていません.
研究 の 目的:
- 人工知能のチャットボットが 患者向けの言語に翻訳する能力を評価する.
- 腫瘍の特徴を分類し,治療法を推奨する AI チャットボットの精度を評価する.
- AIによって生成された解釈の可読性と臨床的関連性を比較する.
主な方法:
- 腫瘍患者の6174件のMRI報告を横断分析した.
- 2つのAIチャットボットであるGPT o1-previewとDeepseek-R1は 報告を解釈し 腫瘍を分類し 手術の必要性を評価し 治療法を提案しました
- 読みやすさは,フレッシュ・キンケイドとガンニング・フォグのメトリックを使用して測定され,正確さは,医学レビューによって検証されました.
主要な成果:
- 両方のチャットボットはレポートの読みやすさを大幅に改善し,Deepseek-R1はFlesch-Kincaid Reading Easeの高いスコアを達成しました.
- Deepseek-R1は,腫瘍分類 (92. 05%) と外科的必要性評価 (95. 12%) で優れた精度を示した.
- ディープシーク-R1はより臨床的に関連した治療勧告 (98. 10% 許容可能) を提供し,どちらも高い共感を示した.
結論:
- AIチャットボット,特にDeepseek-R1は,MRIレポートの読みやすさと解釈の精度を効果的に向上させることができます.
- 高い性能にもかかわらず AI チャットボットは 誤った用語解釈や偶発的な幻覚などに 陥りやすいのです
- 医療の負担を軽減する可能性があるにもかかわらず,放射線学におけるAIチャットボットの安全な臨床統合には医師の監督が不可欠です.
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