SEMEN ANALYSIS - Machine learning in the prediction of sperm motility

Automatic analysis of different types of clinical data is currently advancing rapidly, in particular, multimodal image analysis (learning simultaneously from various sources of data). At this year's ESHRE Annual Meeting, for example, there were several presentations on the subject of machine learning (a subfield of artificial intelligence) and reproductive outcomes. Though promising, most of such current research in human reproduction is, from a machine learning point of view, still in its infancy. Now, a new study from our group in Oslo shows that advanced machine learning methods for analysing videos of semen samples may be a useful tool in the investigation of male infertility.(1) Manual semen analysis is central to male infertility investigation, but is time-consuming and requires extensive training to obtain reproducible results.