由村卫生志愿者运营的人工智能口腔癌查应用程序的基于社区的可用性研究:混合方法研究
Mansuang Wongsapai1, Kornwipa Wudtijureepun1, Thawatchai Suthachai1
1Ministry of Public Health of Thailand, Intercountry Centre for Oral Health, Chiang Mai, Thailand.
JMIR mHealth and uHealth
|March 11, 2026
概括
这项研究开发了RiskOCA,这是一种人工智能驱动的口腔癌查移动工具,在泰国村庄卫生志愿者中显示出高准确度和用户满意度. 该平台对改善服务不足社区的早期检测充满希望.
科学领域:
- 公共卫生 公共卫生
- 人工智能的人工智能
- 移动健康服务提供者
背景情况:
- 口腔癌是一个重大的公共卫生挑战,特别是在低收入和中等收入国家,获得专业护理的机会有限.
- 通过人工智能 (AI) 增强的移动健康 (mHealth) 技术为扩展口腔癌查服务到服务不足的人群提供了可扩展的解决方案.
- 泰国村卫生志愿者 (VHV) 在提供预防服务和将农村社区与医疗保健专家联系起来方面发挥着至关重要的作用.
研究的目的:
- 描述RiskOCA的技术开发,这是一个基于智能手机的AI辅助平台,用于口腔癌风险评估.
- 评估风险OCA平台在泰国农村环境中由VHV实施时的可用性.
主要方法:
- 风险OCA是用三层架构构建的:用于风险分析和成像的患者界面,用于病变分析的嵌入式深度学习引擎 (DeepLab v3+与ResNet-50),以及专家审查的专家门户.
- 人工智能模型在2226张注释的口内图像上进行了训练并得到了验证.
- 现场测试包括在泰国农村地区查1242名成年人 (≥40岁),通过250名VHV填写的25项问卷来评估可用性.
主要成果:
- 人工智能模型在三个诊断类别中实现了93.22%的平均分类准确率.
- 可用性评估显示,用户满意度很高,总体平均得分为5.5分中的4.17.
- VHV用户表示满意度很高,特别是在应用程序对老年人监控的贡献方面.
结论:
- 风险OCA表现出强大的技术性能和高用户接受度,证实其可用于社区口腔癌查的可行性.
- 整合人工智能辅助分拣和专家审查有可能减少诊断延迟和扩大查覆盖范围.
- 这个平台作为一个可扩展的模型,用于在资源有限的环境中预防口腔癌.
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