在基于人工智能和云计算的诊断系统上使用全覆盖性宫癌查程序的表现:对超大群体的观察研究
Lu Ji1, Yifan Yao1, Dandan Yu2
1School of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Journal of medical Internet research
|November 20, 2024
概括
人工智能 (AI) 显著提高了宫癌查的可访问性和效率. 这种由人工智能驱动的系统加速了朝着世界卫生组织的进展.
科学领域:
- 公共卫生 公共卫生
- 医疗技术 医疗技术 医学技术
- 在瘤学瘤学.
背景情况:
- 世界卫生组织 (WHO) 的目标是消除宫癌,需要70%的查覆盖率.
- 中国的行动计划包括湖北省一个全覆盖范围的省级查计划,利用人工智能和云诊断.
研究的目的:
- 在一个全面的宫癌查计划中评估AI诊断系统的性能.
- 评估指标,包括可访问性,效率,诊断质量和成本.
主要方法:
- 分析了来自1,704,461个人的查数据 (2022年7月至2023年1月).
- 在220个人的随机样本上进行外部诊断质量控制.
- 评估各参与机构的项目成本.
主要成果:
- 查服务达到了所有地区,农村参与率很高 (67.54%).
- 人工智能在6个月内实现了13.45%的覆盖率,预计在1年内完全覆盖 (87.5倍比手工方法快).
- 报告了高的合规率 (>96%) 和每人49日元的低成本.
结论:
- 人工智能辅助诊断对于宫癌查来说是可访问的,高效的,可靠的和具有成本效益的.
- 人工智能技术对于快速增加查覆盖率至关重要,支持世卫组织的消除目标,特别是在资源有限的地区.
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