# ESHREjc report: on the road to preconception and personalized counselling with machine learning models

JJ Fraire-Zamora, ZE Ali, S Makieva… - Human …, 2022 - academic.oup.com
Artificial intelligence (AI) is a tool thought to revolutionize the field of reproductive medicine
in the years to come. Specifically, machine learning (ML), which is a subset of AI methods …

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 …

Unlocking the potential of artificial intelligence (AI) in reproductive medicine: the JARG collection on assisted reproductive technology (ART) and machine learning

CL Curchoe, GS Letterie, AM Quaas - Journal of Assisted Reproduction …, 2023 - Springer
This collection of papers brings together the latest, cuttingedge research and delves into the
promising role of artificial intelligence (AI) in shaping the future of reproductive medicine …

[HTML][HTML] Artificial Intelligence cannot Replace Human Skill at Embryo Transfer

GN Allahbadia, SG Allahbadia… - International Journal of …, 2022 - greenpublishers.org
Sixteen artificial intelligence (AI) and machine learning (ML) papers were presented at the
2018 Annual meetings of the American Society for Reproductive Medicine (Nine) and …

[PDF][PDF] Rethinking Challenges of Machine Learning in Assisted Reproductive Technology

C Wu - 2024 - primerascientific.com
Predicting pregnancy and live births using machine learning in the field of in-vitro fertilization
(IVF) has long posed a significant challenge due to the difficulty in achieving consistent …

The future is coming: artificial intelligence in the treatment of infertility could improve assisted reproduction outcomes—the value of regulatory frameworks

S Medenica, D Zivanovic, L Batkoska, S Marinelli… - Diagnostics, 2022 - mdpi.com
Infertility is a global health issue affecting women and men of reproductive age with
increasing incidence worldwide, in part due to greater awareness and better diagnosis …

[HTML][HTML] Live Birth Prediction and Optimizing Protocols in IVF/ICSI Treatments: A Machine Learning Approach

M MAZAHERI KELAHRODI - thesis.unipd.it
Infertility is a common issue that affects many couples, making it difficult for them to conceive
a child naturally. In Vitro Fertilization (IVF) is an assisted reproductive technology (ART) that …

The paper chase and the big data arms race

CL Curchoe - Journal of Assisted Reproduction and Genetics, 2021 - Springer
Artificial intelligence (AI)—systems that program themselves to listen, think, predict,
anticipate, prognose, diagnose, and RESPOND better than people—are the future of …

Artificial intelligence in reproductive medicine

R Wang, W Pan, L Jin, Y Li, Y Geng, C Gao… - …, 2019 - rep.bioscientifica.com
Artificial intelligence (AI) has experienced rapid growth over the past few years, moving from
the experimental to the implementation phase in various fields, including medicine …

[PDF][PDF] The Future Is Coming: Artificial Intelligence in the Treatment of Infertility Could Improve Assisted Reproduction Outcomes-The Value of Regulatory Frameworks …

S Medenica, D Zivanovic, L Batkoska, S Marinelli… - 2022 - researchgate.net
Infertility is a global health issue affecting women and men of reproductive age with
increasing incidence worldwide, in part due to greater awareness and better diagnosis …