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Publications
Estimation of Retrieval Date in Antagonist Protocol Cycles at Different Stages of the Cycle, Using Artificial Intelligence Algorithm
Published: October, 2023
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Optimizing Workload by Balancing Antagonist Protocol Retrievals Using Artificial Intelligence Algorithm for Antagonist Trigger Day Decision
Published: October, 2023
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An Artificial Intelligence Based Approach for Selecting the Optimal Day for Triggering in Antagonist Protocol Cycles
Published: July 27, 2023
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Artificial Intelligence in the Service of Intra Uterine Insemination and Timed Intercourse in Spontaneous Cycles
Published:July 23, 2023
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Artificial Intelligence for Intrauterine Insemination and Timed Intercourse
Vol. 118, Issue 4, Supplement e155, Published in issue: October, 2022
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Machine learning software significantly increase clinical pregnancy rates in natural frozen-thawed embryo transfer cycles
22 June 2023
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Machine Learning Algorithm Automatically Manages and Accurately Predicts Ovulation in Natural Frozen-thawed Embryo Transfer Cycles
22 June 2023
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Optimizing IVF Unit Workload by Balancing Retrievals using Artificial Intelligence Algorithm for Trigger Day Decision
22 June 2023
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Responsible Artificial Intelligence in Clinical Decision Making: Anomaly Detection in Trigger Day Optimization
22 June 2023
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An Artificial Intelligence Based Approach for Selecting the Optimal Day for Trigger in Antagonist Cycles
22 June 2023
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Forecast of Total and Mature Oocyte Number for Three Different Trigger Days using Machine Learning Prediction Models
22 June 2023
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