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

BACKGROUND: Testicular sperm extraction (TESE) is an essential therapeutic tool for the management of male infertility. However, it is an invasive procedure with a success rate up to 50%. To date, no model based on clinical and laboratory parameters is sufficiently powerful to accurately predict the...

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Detalles Bibliográficos
Autores principales: Bachelot, Guillaume, Dhombres, Ferdinand, Sermondade, Nathalie, Haj Hamid, Rahaf, Berthaut, Isabelle, Frydman, Valentine, Prades, Marie, Kolanska, Kamila, Selleret, Lise, Mathieu-D’Argent, Emmanuelle, Rivet-Danon, Diane, Levy, Rachel, Lamazière, Antonin, Dupont, Charlotte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337455/
https://www.ncbi.nlm.nih.gov/pubmed/37342078
http://dx.doi.org/10.2196/44047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337455/
https://www.ncbi.nlm.nih.gov/pubmed/37342078
http://dx.doi.org/10.2196/44047

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