Artificial Intelligence Model for the Assessment of Unstained Live Sperm Morphology.

Authors

Jermphiphut Jaruenpunyasak, Prawai Maneelert, Marwan Nawae, Chainarong Choksuchat

Published in

Reproduction & fertility. Apr 01, 2025. Epub Apr 01, 2025.

Abstract

Traditional sperm morphology assessment requires staining and high magnification (100×), rendering sperm unsuitable for further use. We aimed to determine whether an in-house artificial intelligence model could reliably assess normal sperm morphology in living sperm and compare its performance with that of computer-aided semen analysis and conventional semen analysis methods. In this experimental study, we enrolled 30 healthy male volunteers aged 18-40 years at the Songklanagarind Assisted Reproductive Centre, Songklanagarind Hospital. We developed a novel dataset of sperm morphological images captured with confocal laser scanning microscopy at low magnification and high resolution to train and validate an AI model. Semen samples were divided into three aliquots and assessed for unstained live sperm morphology using the artificial intelligence model, whereas computer-aided and conventional semen analysis methods evaluated fixed sperm morphology. The performance of our in-house artificial intelligence model for evaluating unstained live sperm morphology was compared with those of the other two methods. The in-house artificial intelligence model showed the strongest correlation with computer-aided semen analysis (r=0.88), followed by conventional semen analysis (r=0.76). The correlation between computer-aided semen analysis and conventional semen analysis was weaker (r=0.57). Both the in-house artificial intelligence and conventional semen analysis methods detected normal sperm morphology at significantly higher rates than computer-aided semen analysis. The in-house artificial intelligence model could enhance assisted reproductive technology outcomes by improving the selection of high-quality sperm with normal morphology. This could lead to better outcomes of intracytoplasmic sperm injections and other fertility treatments.

PMID:
40261982
Bibliographic data and abstract were imported from PubMed on 23 Apr 2025.

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