Tee Yu-San, Huang Jen-Fu, Huang Yu-Ting, Hsu Chi-Po, Chen Huan-Wu, Hsieh Chi-Hsun, Fu Chih-Yuan, Cheng Chi-Tung, Liao Chien-Hung
Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Linkou, Chang Gung University, Taoyuan, Taiwan.
Department of Diagnostic Radiology, Chang Gung Memorial Hospital at Keelung, Chang Gung University, Taoyuan, Taiwan.
NPJ Digit Med. 2025 Aug 13;8(1):518. doi: 10.1038/s41746-025-01923-5.
Plain pelvic radiographs (PXR) remain crucial for initial trauma assessment, yet interpretation challenges persist. While artificial intelligence (AI) shows promise, its practical impact across specialties remains unexplored. We conducted a retrospective image-based, multi-reader multi-case (MRMC) study using a standardized, prospectively planned evaluation protocol. A total of 26 physicians (8 radiologists, 10 emergency physicians, 8 trauma surgeons) interpreted 150 PXRs in three sequential sessions: without AI, with AI-alert, and with AI-visual guidance. AI assistance improved overall diagnostic accuracy from 0.870 to 0.940 (p < 0.001) and reduced interpretation time from 22.70 to 9.58 s (p < 0.001). Non-radiologists showed substantial improvements, with emergency physicians demonstrating increases in specificity (26.2%, p = 0.006) and positive predictive value (41.5%, p = 0.006). Trauma surgeons with AI-visual guidance achieved comparable accuracy to unaided radiologists (0.940 vs. 0.920, p = 0.556). Tailored AI assistance effectively bridges the performance gap between radiologists and non-radiologists while reducing reading time. These findings suggest AI integration could enhance clinical workflow efficiency across specialties in trauma care settings.
骨盆平片（PXR）对于初始创伤评估仍然至关重要，但解读方面的挑战依然存在。虽然人工智能（AI）显示出前景，但其在各专业中的实际影响仍未得到探索。我们使用标准化的前瞻性规划评估方案进行了一项基于图像的回顾性多读者多病例（MRMC）研究。共有26名医生（8名放射科医生、10名急诊医生、8名创伤外科医生）在三个连续阶段解读了150张骨盆平片：无AI辅助、AI警报辅助、AI视觉引导辅助。AI辅助将总体诊断准确率从0.870提高到0.940（p < 0.001），并将解读时间从22.70秒减少到9.58秒（p < 0.001）。非放射科医生有显著改善，急诊医生的特异性提高了26.2%（p = 0.006），阳性预测值提高了41.5%（p = 0.006）。在AI视觉引导下，创伤外科医生的准确率与未辅助的放射科医生相当（0.940对0.920，p = 0.556）。量身定制的AI辅助有效弥合了放射科医生和非放射科医生之间的表现差距，同时减少了阅读时间。这些发现表明，整合AI可以提高创伤护理环境中各专业的临床工作流程效率。
