Segmentation of mature human oocytes provides interpretable and improved blastocyst outcome predictions by a machine learning model von Fjeldstad, Jullin, Qi, Weikai, Siddique, Nadia, Mercuri, Natalie, Nayot, Dan, Krivoi, Alex

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HIGHER METAPHASE II (MII) OOCYTE QUALITY IDENTIFIED BY AN ARTIFICIAL INTELLIGENCE (AI) OOCYTE IMAGE ANALYSIS TOOL IN GnRH ANTAGONIST VERSUS GnRH AGONIST CONTROLLED OVARIAN STIMULAT... von Fjeldstad, Jullin, Siddique, Nadia, Mercuri, Natalie, Meriano, Jim, Nayot, Dan

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A NON-INVASIVE, 2-DIMENSIONAL (2D) IMAGE ANALYSIS ARTIFICIAL INTELLIGENCE (AI) TOOL SCORES MATURE OOCYTES AND CORRELATES WITH THE QUALITY OF SUBSEQUENT BLASTOCYST DEVELOPMENT von Mercuri, Natalie, Fjeldstad, Jullin, Krivoi, Alex, Meriano, Jim, Nayot, Dan

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AN ARTIFICIAL INTELLIGENCE (AI) MODEL NON-INVASIVELY IDENTIFIES OOCYTES THAT CORRELATE WITH GREATER EMBRYO IMPLANTATION POTENTIAL von Fjeldstad, Jullin, Mercuri, Natalie, Krivoi, Alex, Malmsten, Jonas, Nayot, Dan, Zaninovic, Nikica

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DEVELOPING AN ARTIFICIAL INTELLIGENCE (AI) MODEL TO EFFICIENTLY MEASURE ENDOMETRIAL THICKNESS WITHIN ULTRASOUND (US) IMAGES von Mercuri, Natalie, Forooshani, Parisa Mojiri, Qi, Weikai, Fjeldstad, Jullin, Krivoi, Alex, Nayot, Dan

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An artificial intelligence tool predicts blastocyst development from static images of fresh mature oocytes von Fjeldstad, Jullin, Qi, Weikai, Mercuri, Natalie, Siddique, Nadia, Meriano, Jim, Krivoi, Alex, Nayot, Dan

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A NOVEL NON-INVASIVE OOCYTE SCORING SYSTEM USING AI APPLIED TO 2-DIMENSIONAL IMAGES von Nayot, Dan, Mercuri, Natalie, Krivoi, Alex, Casper, Robert F., Meriano, James, Fjeldstad, Jullin

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SYSTEM AND METHOD FOR PREDICTING BLASTOCYST DEVELOPMENT USING FEATURE ENGINEERING von KRIVOI, Alexandr, QI, Weikai, FJELDSTAD, Jullin

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