The diagnosis of male infertility remains a complex cross-disciplinary challenge requiring the integration of laboratory, instrumental, and clinical approaches. This study aimed to develop and model a digital diagnostic platform for the comprehensive assessment of ejaculate quality, ensuring improved reproducibility and clinical informativeness of laboratory tests in male fertility evaluation. We propose a digital platform integrating three key components: a microfluidic diagnostic chip (MDC) for automated samples fractionation; an artificial intelligence (AI) module for standardized interpretation of cytological preparations (sperm sediment cytology, SSC); and a cloud-based module for digital slide storage and patient routing. The developed digital platform can provide a technological foundation for standardized, reproducible, and clinically oriented diagnostics of male infertility, consistent with the principles of lean technologies and information security requirements. The proposed solution enables the reduction of diagnostic losses, minimization of interpretation subjectivity, and provision of personalized patient routing at all stages of laboratory evaluation.
Zhanna Yu. Sapozhkova – MD, PhD; Academic Director at the International Cytology School & Innovatory Medical School; Head of the Cytology Laboratory, Clinical Laboratory Diagnostics Physician at the Moscow Regional Oncological Clinical Center, Moscow, Russia.
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