This paper is in the following e-collection/theme issue:

Theme Issue 2022: Reproductive Informatics (54) New Methods (956) Obstetrics, Gynecology, and Reproductive Medicine (231) Decision Support for Health Professionals (1201)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44047, first published .
A Machine Learning Approach for the Prediction of Testicular Sperm Extraction in Nonobstructive Azoospermia: Algorithm Development and Validation Study

A Machine Learning Approach for the Prediction of Testicular Sperm Extraction in Nonobstructive Azoospermia: Algorithm Development and Validation Study

A Machine Learning Approach for the Prediction of Testicular Sperm Extraction in Nonobstructive Azoospermia: Algorithm Development and Validation Study

Authors of this article:

Guillaume Bachelot1, 2, 3 Author Orcid Image ;   Ferdinand Dhombres3 Author Orcid Image ;   Nathalie Sermondade1, 2 Author Orcid Image ;   Rahaf Haj Hamid2 Author Orcid Image ;   Isabelle Berthaut2 Author Orcid Image ;   Valentine Frydman4 Author Orcid Image ;   Marie Prades2 Author Orcid Image ;   Kamila Kolanska1, 5 Author Orcid Image ;   Lise Selleret4 Author Orcid Image ;   Emmanuelle Mathieu-D’Argent1, 5 Author Orcid Image ;   Diane Rivet-Danon2 Author Orcid Image ;   Rachel Levy1, 2 Author Orcid Image ;   Antonin Lamazière1, 6 Author Orcid Image ;   Charlotte Dupont1, 2 Author Orcid Image
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