The breakthrough arrives amid growing issues for couples trying to get pregnant.
A recentreportfrom the World Health Organisation estimated that one in six people globally is now affected by infertility.
Despiteperceptionsthat its womens business, men now contribute to approximately50%of fertility problems.
These issues have triggered calls for better fertility testing.
Around 18 months ago, Bayezian was asked to help.
The company, which provides data science and machine learning incubation services, appliedAIto the problem.
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Bayezian sought a solution inthe MHSMA dataset, a collectionof sperm images from 235 patients with male factor infertility.
Using the dataset, theresearch teambuiltdeep learningframeworks that can see a sperms morphology.
According to Bayezian, their algorithm spots differences that the human eye cant perceive.
The company says it canidentify sperm fertility with a 96% accuracy rate 2% higher than existing scientificapproaches.
We see accurate diagnosis as a critical tool in helping address male fertility.
Story byThomas Macaulay
Thomas is the managing editor of TNW.
He leads our coverage of European tech and oversees our talented team of writers.
Away from work, he e(show all)Thomas is the managing editor of TNW.
He leads our coverage of European tech and oversees our talented team of writers.
Away from work, he enjoys playing chess (badly) and the guitar (even worse).
