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提高器官分配效率:一项试点研究评估人工智能辅助对捐赠病理的评估
Jeffrey Campsen1, Yelina Kim2, Tiffany Chen3
1Surgery/Transplant, Donor Connect - Organ Procurement Organization, Murray, USA.
Cureus
|June 9, 2025
概括
人工智能 (AI) 辅助的审查显著减少了活检审查时间的50%以上,同时保持了高准确性和对捐赠活性的专家评估的一致性.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 数字病理学数字病理学
- 人工智能在医学中的应用
背景情况:
- 捐赠的活力评估对于成功的移植至关重要.
- 精确评估脏活检幻灯片对于确定供体适合性至关重要.
- 目前的手动审查流程可能会耗时,并且会有变化.
研究的目的:
- 评估人工智能 (AI) 辅助审查 (AAR) 系统的有效性.
- 评估诊断准确性,效率和与专家评估一致性的改进.
- 为了确定AAR对捐赠脏活力评估的影响.
主要方法:
- 分析了60个H&E染色的冷部脏活检幻灯片.
- 基本真相 (GT) 是由病理学家使用手动数字审查 (MDR) 建立的.
- 人工智能算法,病理学家 (R2) 和外科医生 (R1) 独立审查了幻灯片;然后执行AAR并与GT进行比较.
主要成果:
- AAR与GT在硬化型质细胞 (SG) 数量和脏活力值方面显示出高度一致 (98.33%的协议在20%的SG).
- 与MDR相比,AAR减少了54.83%的平均审查时间 (每幻灯片17:09分与8:35分).
- 与MDR相比,AAR与GT的调整有所改善,SG百分比的相关系数更高.
结论:
- 人工智能辅助的审查系统有效地减少了审查时间,同时保持了诊断准确性和专家一致性.
- 采用人工智能可以提高病理学工作流程的效率.
- 这项技术通过改善对捐赠的生存能力的评估来支持加快移植决策.
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