[HTML][HTML] Comparison of multivariable logistic regression and other machine learning algorithms for prognostic prediction studies in pregnancy care: systematic review …

H Sufriyana, A Husnayain, YL Chen… - JMIR medical …, 2020 - medinform.jmir.org
Background: Predictions in pregnancy care are complex because of interactions among
multiple factors. Hence, pregnancy outcomes are not easily predicted by a single predictor …

Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018

CL Curchoe, CL Bormann - Journal of assisted reproduction and genetics, 2019 - Springer
Sixteen artificial intelligence (AI) and machine learning (ML) approaches were reported at
the 2018 annual congresses of the American Society for Reproductive Biology (9) and …

Big data analytics for preventive medicine

MI Razzak, M Imran, G Xu - Neural Computing and Applications, 2020 - Springer
Medical data is one of the most rewarding and yet most complicated data to analyze. How
can healthcare providers use modern data analytics tools and technologies to analyze and …

Clinical use of artificial intelligence in endometriosis: a sco** review

B Sivajohan, M Elgendi, C Menon, C Allaire… - Npj Digital …, 2022 - nature.com
Endometriosis is a chronic, debilitating, gynecologic condition with a non-specific clinical
presentation. Globally, patients can experience diagnostic delays of~ 6 to 12 years, which …

[HTML][HTML] Artificial intelligence: a new paradigm in obstetrics and gynecology research and clinical practice

P Iftikhar, MV Kuijpers, A Khayyat, A Iftikhar… - Cureus, 2020 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is growing exponentially in various fields, including medicine. This
paper reviews the pertinent aspects of AI in obstetrics and gynecology (OB/GYN) and how …

Time-lapse imaging of cleavage divisions in embryo quality assessment

R Milewski, A Ajduk - Reproduction, 2017 - rep.bioscientifica.com
In vitro fertilization (IVF) is one of the most important procedures for treating infertility. As
several embryos are usually produced in a single IVF cycle, it is crucial to select only the …

An artificial neural network for the prediction of assisted reproduction outcome

P Vogiatzi, A Pouliakis, C Siristatidis - Journal of assisted reproduction and …, 2019 - Springer
Purpose To construct and validate an efficient artificial neural network (ANN) based on
parameters with statistical correlation to live birth, to be used as a comprehensive tool for the …

Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence

L Davidson, MR Boland - Journal of Pharmacokinetics and …, 2020 - Springer
The role of artificial intelligence (AI) in healthcare for pregnant women. To assess the role of
AI in women's health, discover gaps, and discuss the future of AI in maternal health. A …

Are computational applications the “crystal ball” in the IVF laboratory? The evolution from mathematics to artificial intelligence

M Simopoulou, K Sfakianoudis, E Maziotis… - Journal of Assisted …, 2018 - Springer
Abstract Mathematics rules the world of science. Innovative technologies based on
mathematics have paved the way for implementation of novel strategies in assisted …

Artificial intelligence in the assessment of female reproductive function using ultrasound: A review

Z Chen, Z Wang, M Du, Z Liu - Journal of Ultrasound in …, 2022 - Wiley Online Library
The incidence of infertility is continuously increasing nearly all over the world in recent
years, and novel methods for accurate assessment are of great need. Artificial Intelligence …