Web- and Artificial Intelligence-Based Image Recognition For Sperm Motility Analysis: Verification Study.
Vincent Fs TsaiBin ZhuangYuan-Hung PongJu-Ton HsiehHong-Chiang ChangPublished in: JMIR medical informatics (2020)
This smartphone-based sperm motility test (Bemaner) accurately measures motility-related parameters and could potentially be applied toward the following fields: male infertility detection, sperm quality test during preparation for pregnancy, and infertility treatment monitoring. With frequent at-home testing, more data can be collected to help make clinical decisions and to conduct epidemiological research.
Keyphrases
- artificial intelligence
- big data
- biofilm formation
- deep learning
- machine learning
- pseudomonas aeruginosa
- electronic health record
- polycystic ovary syndrome
- staphylococcus aureus
- preterm birth
- insulin resistance
- pregnancy outcomes
- pregnant women
- type diabetes
- label free
- cystic fibrosis
- real time pcr
- adipose tissue
- combination therapy
- mass spectrometry
- skeletal muscle