An inexpensive smartphone-based device for point-of-care ovulation testing
An inexpensive smartphone-based device for point-of-care ovulation testing
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DOI：
10.1039/c8lc00792f
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发表时间：
2019-01-07
期刊：
影响因子：
6.1
通讯作者：
Shafiee, Hadi
中科院分区：
文献类型：
--
作者：
Potluri, Vaishnavi;Kathiresan, Preethi Sangeetha;Shafiee, Hadi
使用低成本的护理点诊断在家中准确预测排卵的能力对于喜欢自然计划生育的夫妇来说可以提供显着帮助。检测尿液样本中的排卵特异性激素和监测基础体温是目前常用的用于排卵检测的家庭方法;然而，这些方法对于长期使用来说相对昂贵，并且结果难以理解。在这里，我们报告了一种基于智能手机的床旁设备，用于使用人工智能（AI）进行自动排卵测试，通过检测小体积的蕨类植物模式（有效预测排卵的准确率为99%）。
The ability to accurately predict ovulation at-home using low-cost point-of-care diagnostics can be of significant help for couples who prefer natural family planning. Detecting ovulation-specific hormones in urine samples and monitoring basal body temperature are the current commonly home-based methods used for ovulation detection; however, these methods, relatively, are expensive for prolonged use and the results are difficult to comprehend. Here, we report a smartphone-based point-of-care device for automated ovulation testing using artificial intelligence (AI) by detecting fern patterns in a small volume (99% accuracy in effectively predicting ovulation.