MP21: An at- home system for measuring sperm motility adapting to different types of mobile phones---verification of its performance of Artificial Intelligence (AI) sperm image recognition based on cloud computing
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  • 2019-01-03,
  • 上傳者: TUA秘書處,
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在家適用於多款型號手機檢測活動精子數的系統---驗證其雲端精子影像智慧識別AI軟體的性能

蔡芳生134、庄斌2、謝汝敦3、張宏江3

1天晟醫院 泌尿科;2深圳創懷醫療科技有限公司;3台大醫院 泌尿部;4中原大學 生物醫學工程研究所

An at-home system for measuring sperm motility adapting to different types of mobile phones---verification of its performance of Artificial Intelligence (AI) sperm image recognition based on cloud computing

Vincent F.S. Tsai134, Bin Zhuang2, Ju-Ton Hsieh3, Hong-Chiang Chang3

1Divisions of Urology, Ten-Chan General Hospital, Taoyuan, Taiwan; 2CreateCare POC testing corporation, Shenzhen, China; 3Department of Urology, National Taiwan University Hospital, Taipei, Taiwan; 4Institute of Biomedical Engineering, Chung-Yuan Christian University, Taoyuan, Taiwan

 

Purpose: According to reports of WHO, human sperm quality fluctuates at different times. For it is necessary to monitor sperm motility by couples preparing for spontaneous pregnancy, CreateCare POC testing corporation developed the world’s first at-home system for measuring sperm motility coupling with types of mobile phones (Bemaner ®). The system is composed of microscope and microfluidic modules. The sperm videos is captured and uploaded to the cloud by many types of mobile phones and accompanied applications. Analysis of sperm motility is performed by AI sperm image recognition based on cloud computing and results is displayed on mobile phones. This study is to verify performance of AI sperm image recognition based on cloud computing.

Materials and Methods: The forty-seven de-linked sperm videos (subjects unidentified) are classified into 6 grades (0-5) according to the number of motile sperm in the vision field of each video by a male fertility expert of 10-year experience. Correlation is calculated by Excel (Microsoft ® 2016) between the assessed grades and the results (concentration of motile sperm, total motility and pregnancy index) computed by AI sperm image recognition based on cloud computing.

Results: There are good correlations between the assessed grades and the results (concentration of motile sperm, total motility and pregnancy index) computed by the system and this version of AI algorithm (v 1.0.8_5/22). The coefficients of correlation are 0.84, 0.90 and 0.83 respectively and p values are all below 0.01.

Conclusions: This at-home system for measuring sperm motility coupling with types of mobile phones (Bemaner ®) accurately measures sperm motility related parameters. It helps users measure sperm quality for detecting male infertility and monitoring fluctuation of male fertility. Physicians can also be provided by the data collected at home with increased frequency of testing and then make better clinical decisions.

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    發表時間 :
    2019-01-03 15:17:54
    觀看數 :
    242
    發表人 :
    TUA秘書處
    部門 :
    台灣泌尿科醫學會
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