Human sperm samples from 46 men were evaluated for standard semen parameters by two trained technicians, according to WHO criteria. A computer-aided semen analyzer (CASA, HTM-IVOS) was employed. The overall mean coefficient of variation for the 2 participants and the 46 samples studied was 17% for the percentage of progressive motile spermatozoa (r = 0.77). Twenty-nine (63%) samples were classified as asthenozoospermia by both methods. From the studied samples, 12 (26%) were classified as asthenozoospermia by the subjective method and 2 (4.3%) by CASA (p =.01). The two methods do not provide directly comparable data.
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http://dx.doi.org/10.1080/01485010252869252 | DOI Listing |
J Clin Med
January 2025
Department of Urology, Faculty of Medicine, Recep Tayyip Erdogan University, 53000 Rize, Turkey.
Semen analysis is universally regarded as the gold standard for diagnosing male infertility, while ultrasonography plays a vital role as a complementary diagnostic tool. This study aims to assess the effectiveness of artificial intelligence (AI)-driven deep learning algorithms in predicting semen analysis parameters based on testicular ultrasonography images. This study included male patients aged 18-54 who sought evaluation for infertility at the Urology Outpatient Clinic of our hospital between February 2022 and April 2023.
View Article and Find Full Text PDFAdv Lab Med
December 2024
Clinical Biochemistry Laboratory, Provincial Hospital of Bolzano (SABES-ASDAA), Bolzano, Italy.
Objectives: Semen analysis investigates different parameters of human semen with a high relevance in fertility workup, confirmation of sterility by post vasectomy, in pathologies follow-up such as varicocele and in all cases where sperm preservation is required. Manually seminal fluid examination is characterized by poor reproducibility. Aim of this study was to evaluate the performance of an automatic device in semen analysis by comparing its results with those obtained with the manual microscopy.
View Article and Find Full Text PDFJ Assist Reprod Genet
November 2024
Division of Endocrinology, CSIR-Central Drug Research Institute, Lucknow, India.
Reprod Biol Endocrinol
August 2024
Department of Urology, Eskisehir City Health Application and Research Center, Health Science University, Eskisehir, Turkey.
Purpose: To find the machine learning (ML) method that has the highest accuracy in predicting the semen quality of men based on basic questionnaire data about lifestyle behavior.
Methods: The medical records of men whose semen was analyzed for any reason were collected. Those who had data about their lifestyle behaviors were included in the study.
BMC Urol
August 2024
Viral Research and Diagnostic Laboratory, Department of Microbiology, MGM Medical College, Indore, 452001, India.
Background: Male infertility due to spermatogenesis defects affects millions of men worldwide. However, the genetic etiology of the vast majority remains unclear. The present study was undertaken to assess the association of DNAH6 and ATPase6 genes in asthenozoospermia patients in the northern region of India.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!