标题
Artificial Intelligence in Reproductive Urology
作者
关键词
Artificial intelligence, Machine learning, Reproductive urology, Male-factor infertility, Artificial neural network, Urology
出版物
Current Urology Reports
Volume 20, Issue 9, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-07-29
DOI
10.1007/s11934-019-0914-4
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018
- (2019) Carol Lynn Curchoe et al. JOURNAL OF ASSISTED REPRODUCTION AND GENETICS
- Home testing for male factor infertility: a review of current options
- (2019) Yoshitomo Kobori FERTILITY AND STERILITY
- Differentiating kidney stones from phleboliths in unenhanced low-dose computed tomography using radiomics and machine learning
- (2019) Thomas De Perrot et al. EUROPEAN RADIOLOGY
- MP46-10 AN AT-HOME SYSTEM THAT ADAPTS TO DIFFERENT TYPES OF MOBILE PHONES FOR MEASURING SPERM MOTILITY--- VERIFICATION OF ITS PERFORMANCE OF ARTIFICIAL INTELLIGENCE (AI) SPERM IMAGE RECOGNITION WITH CLOUD COMPUTING
- (2019) Vincent Tsai* et al. JOURNAL OF UROLOGY
- Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study
- (2019) Bach Tran et al. Journal of Clinical Medicine
- Automation, machine learning, and artificial intelligence in echocardiography: A brave new world
- (2018) Sumeet Gandhi et al. ECHOCARDIOGRAPHY-A JOURNAL OF CARDIOVASCULAR ULTRASOUND AND ALLIED TECHNIQUES
- Automated diagnosis of prostate cancer location by artificial intelligence in multiparametric MRI
- (2018) Y. Oishi et al. EUROPEAN UROLOGY SUPPLEMENTS
- Predicting urinary tract infections in the emergency department with machine learning
- (2018) R. Andrew Taylor et al. PLoS One
- Machine Learning in Medical Imaging
- (2018) Maryellen L. Giger Journal of the American College of Radiology
- Automated sperm morpshology testing using artificial intelligence
- (2018) P. Thirumalaraju et al. FERTILITY AND STERILITY
- Application of Artificial Intelligence-based Technology in Cancer Management: A Commentary on the Deployment of Artificial Neural Networks
- (2018) GAJANAN V. SHERBET et al. ANTICANCER RESEARCH
- Diagnosis of urinary tract infection based on artificial intelligence methods
- (2018) Ilker Ali Ozkan et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Home sperm testing device versus laboratory sperm quality analyzer: comparison of motile sperm concentration
- (2018) Ashok Agarwal et al. FERTILITY AND STERILITY
- An Optimized Artificial Neural Network Approach Based on Sperm Whale Optimization Algorithm for Predicting Fertility Quality
- (2018) Engy EL-SHAFEIY et al. Studies in Informatics and Control
- PD13-04 RESULTS OF A NORTH AMERICAN SURVEY ON THE CHARACTERISTICS OF MEN BEING ASSESSED IN MALE INFERTILITY CLINICS: THE ANDROLOGY RESEARCH CONSORTIUM
- (2017) Keith Jarvi et al. JOURNAL OF UROLOGY
- Artificial intelligence in medicine
- (2017) Pavel Hamet et al. METABOLISM-CLINICAL AND EXPERIMENTAL
- Emerging technologies for home-based semen analysis
- (2017) S. Yu et al. Andrology
- Validation of artificial neural network models for predicting biochemical markers associated with male infertility
- (2016) A. S. Vickram et al. Systems Biology in Reproductive Medicine
- Diagnostic evaluation of the infertile female: a committee opinion
- (2015) FERTILITY AND STERILITY
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- Update in the evaluation of the azoospermic male
- (2013) A Gudeloglu et al. Clinics
- Predicting seminal quality with artificial intelligence methods
- (2012) David Gil et al. EXPERT SYSTEMS WITH APPLICATIONS
- Prediction of sperm retrieval in men with non-obstructive azoospermia using artificial neural networks: leptin is a good assistant diagnostic marker
- (2010) Y. Ma et al. HUMAN REPRODUCTION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now