Web- and Artificial Intelligence-Based Image Recognition For Sperm Motility Analysis: Verification Study.

ABSTRACT:

Background

Human sperm quality fluctuates over time. Therefore, it is crucial for couples preparing for natural pregnancy to monitor sperm motility.

Objective

This study verified the performance of an artificial intelligence-based image recognition and cloud computing sperm motility testing system (Bemaner, Createcare) composed of microscope and microfluidic modules and designed to adapt to different types of smartphones.

Methods

Sperm videos were captured and uploaded to the cloud with an app. Analysis of sperm motility was performed by an artificial intelligence-based image recognition algorithm then results were displayed. According to the number of motile sperm in the vision field, 47 (deidentified) videos of sperm were scored using 6 grades (0-5) by a male-fertil

SUBMITTER: Tsai VF 

PROVIDER: S-EPMC7714652 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature