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

Journals

  1. Panner Selvam M, Moharana A, Baskaran S, Finelli R, Hudnall M, Sikka S. Current Updates on Involvement of Artificial Intelligence and Machine Learning in Semen Analysis. Medicina 2024;60(2):279 View
  2. Schmeis Arroyo V, Iosa M, Antonucci G, De Bartolo D. Predicting Male Infertility Using Artificial Neural Networks: A Review of the Literature. Healthcare 2024;12(7):781 View
  3. Olivennes J, Ogouma Aworet L, Ly A, Dupont C, Bachelot G. Azoospermie avec biopsie testiculaire positive : à propos d’un cas. Revue Francophone des Laboratoires 2024;2024(563):73 View
  4. Naik N, Roth B, Lundy S. Artificial Intelligence for Clinical Management of Male Infertility, a Scoping Review. Current Urology Reports 2025;26(1) View
  5. Kaltsas A, Stavros S, Kratiras Z, Zikopoulos A, Machairiotis N, Potiris A, Dimitriadis F, Sofikitis N, Chrisofos M, Zachariou A. Predictors of Successful Testicular Sperm Extraction: A New Era for Men with Non-Obstructive Azoospermia. Biomedicines 2024;12(12):2679 View
  6. Colaco S, Narad P, Singh A, Gupta P, Choudhury A, Sengupta A, Modi D. FertilitY Predictor—a machine learning-based web tool for the prediction of assisted reproduction outcomes in men with Y chromosome microdeletions. Journal of Assisted Reproduction and Genetics 2024 View