人工智能计算机辅助检测在上胃肠内镜上胃瘤的验证
Hannah Lee1, Jun-Won Chung1, Sung-Cheol Yun2
1Division of Gastroenterology, Department of Internal Medicine, Gachon University, Gil Medical Center, Incheon 21565, Republic of Korea.
Diagnostics (Basel, Switzerland)
|December 17, 2024
概括
一种人工智能 (AI) 计算机辅助检测 (CADe) 算法,ALPHAON®,在检测胃瘤方面表现出高精度. 这种人工智能工具还可以提高初学者内镜师的诊断性能,作为一个有效的内镜教育者.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 胃癌是全球死亡的主要原因之一.
- 准确和早期发现胃瘤对于患者的治疗结果至关重要.
研究的目的:
- 验证ALPHAON®人工智能 (AI) 计算机辅助检测 (CADe) 算法用于检测胃瘤.
- 评估人工智能算法对不同经验水平的内镜医生的诊断性能的影响.
主要方法:
- 追溯分析500张静止内镜图像 (400张正常,95张胃癌,5张良性胃).
- 使用精度,灵敏度,特异性,ROC曲线和AUC验证AI CADe算法.
- 专家,实习生和初学者内镜师与人工智能辅助和无人工智能辅助之间的诊断性能比较.
主要成果:
- ALPHAON® CADe算法表现出高有效性,精度为 (0.88),灵敏度为 (0.93) 和特异性为 (0.87).
- 人工智能辅助显著改善了实习生和初学者,特别是初学者的诊断性能 (准确率为0.94,灵敏度为0.87,特异性为0.96).
结论:
- ALPHAON® AI CADe算法在胃瘤检测方面得到了高度验证.
- ALPHAON®显示出作为内镜教育者的潜力,增强初学者内镜师的灵敏度和特异性.
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