Publications

Estimation of Retrieval Date in Antagonist Protocol Cycles at Different Stages of the Cycle, Using Artificial Intelligence Algorithm

Published: October, 2023

Optimizing Workload by Balancing Antagonist Protocol Retrievals Using Artificial Intelligence Algorithm for Antagonist Trigger Day Decision

Published: October, 2023

An Artificial Intelligence Based Approach for Selecting the Optimal Day for Triggering in Antagonist Protocol Cycles

Published: July 27, 2023

Artificial Intelligence in the Service of Intra Uterine Insemination and Timed Intercourse in Spontaneous Cycles

Published:July 23, 2023

Artificial Intelligence for Intrauterine Insemination and Timed Intercourse

Vol. 118, Issue 4, Supplement e155, Published in issue: October, 2022

Machine learning software significantly increase clinical pregnancy rates in natural frozen-thawed embryo transfer cycles

22 June 2023

Machine Learning Algorithm Automatically Manages and Accurately Predicts Ovulation in Natural Frozen-thawed Embryo Transfer Cycles

22 June 2023

Optimizing IVF Unit Workload by Balancing Retrievals using Artificial Intelligence Algorithm for Trigger Day Decision

22 June 2023

Responsible Artificial Intelligence in Clinical Decision Making: Anomaly Detection in Trigger Day Optimization

22 June 2023

An Artificial Intelligence Based Approach for Selecting the Optimal Day for Trigger in Antagonist Cycles

22 June 2023

Forecast of Total and Mature Oocyte Number for Three Different Trigger Days using Machine Learning Prediction Models

22 June 2023

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