Artificial Intelligence in Andrology and Reproductive Medicine
Authors:
- 6 August 2024
- book chapter
- Published by Springer Nature
- p. 369-390
Abstract
No abstract availableKeywords
This publication has 88 references indexed in Scilit:
- The challenges facing deep learning–based catheter localization for ultrasound guided high‐dose‐rate prostate brachytherapyMedical Physics, 2022
- AI in the treatment of fertility: key considerationsJournal of Assisted Reproduction and Genetics, 2020
- Artificial intelligence in the IVF laboratory: overview through the application of different types of algorithms for the classification of reproductive dataJournal of Assisted Reproduction and Genetics, 2020
- Experience of using shear wave elastography in evaluation of testicular stiffness in cases of male infertilityJournal of Ultrasound, 2020
- Artificial Intelligence in Medicine: Where Are We Now?Academic Radiology, 2020
- A comparative study of shear wave elastography in the evaluation of undescended and retractile testes in a pediatric populationJournal of Medical Ultrasonics, 2019
- Diffusion tensor imaging parameters in testes with nonobstructive azoospermiaJournal of Magnetic Resonance Imaging, 2018
- Scalable machine‐learning algorithms for big data analytics: a comprehensive reviewWIREs Data Mining and Knowledge Discovery, 2016
- Sperm processing for advanced reproductive technologies: Where are we today?Biotechnology Advances, 2016
- Artificial neural network analysis (ANNA) of prostatic transrectal ultrasoundThe Prostate, 1999