Article ; Online: Evaluation of an artificial intelligence-facilitated sperm detection tool in azoospermic samples for use in ICSI.
Reproductive biomedicine online
2024 Volume 49, Issue 1, Page(s) 103910
Abstract: Research question: Can artificial intelligence (AI) improve the efficiency and efficacy of sperm searches in azoospermic samples?: Design: This two-phase proof-of-concept study began with a training phase using eight azoospermic patients (>10,000 ... ...
Abstract | Research question: Can artificial intelligence (AI) improve the efficiency and efficacy of sperm searches in azoospermic samples? Design: This two-phase proof-of-concept study began with a training phase using eight azoospermic patients (>10,000 sperm images) to provide a variety of surgically collected samples for sperm morphology and debris variation to train a convolutional neural network to identify spermatozoa. Second, side-by-side testing was undertaken on two cohorts of non-obstructive azoospermia patient samples: an embryologist versus the AI identifying all the spermatozoa in the still images (cohort 1, n = 4), and a side-by-side test with a simulated clinical deployment of the AI model with an intracytoplasmic sperm injection microscope and the embryologist performing a search with and without the aid of the AI (cohort 2, n = 4). Results: In cohort 1, the AI model showed an improvement in the time taken to identify all the spermatozoa per field of view (0.02 ± 0.30 × 10 Conclusions: AI-powered image analysis has the potential for seamless integration into laboratory workflows, to reduce the time to identify and isolate spermatozoa from surgical sperm samples from hours to minutes, thus increasing success rates from these treatments. |
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Language | English |
Publishing date | 2024-02-22 |
Publishing country | Netherlands |
Document type | Journal Article |
ZDB-ID | 2113823-0 |
ISSN | 1472-6491 ; 1472-6483 |
ISSN (online) | 1472-6491 |
ISSN | 1472-6483 |
DOI | 10.1016/j.rbmo.2024.103910 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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