- Algorithms for Predicting the Probability of Azoospermia from Follicle Stimulating Hormone: Design and Multi-Institutional External Validation
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Tradewell MB, Cazzaniga W, Pagani RL, Reddy R, Boeri L, Kresch E, Morgantini LA, Ibrahim E, Niederberger C, Salonia A, Ramasamy R
- KMID: 2537108
- World J Mens Health.
- 2022 Oct;40(4):600-607.
- doi: 10.5534/wjmh.210138
Purpose: To predict the probability of azoospermia without a semen analysis in men presenting with infertility by developing an azoospermia prediction model. Materials and Methods: Two predictive algorithms were generated, one... -
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