A machine learning algorithm to predict the success of a second microsurgical testicular sperm extraction.
Obeidat A; Sabbah BN; Mandourah H; Alghafees M; Sabbah AN; Hajja A; Ouban A; Alkattan W · 2025 · Annals of medicine and surgery (2012)
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Introduction Testicular sperm extraction (TESE) is a common procedure for retrieving sperm in men with azoospermia. However, the success rates of a second TESE following an initial unsuccessful attempt remain low. This study aims to…
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Metadata source: Europe PMC · DOI 10.1097/ms9.0000000000003560