ABSTRACT: Artificial Intelligence (AI)-Supported MAGENTA Oocyte Assessments Shown To Prospectively Correlate With Utilizable Blastocyst Development In Patients, And For The First Time In Oocyte Donors
J. Pons Ballester, M. Alavés, J. Teruel, J. Fjeldstad, N. Mercuri, A. Krivoi.
ESHRE 39th Annual Meeting, 2023.
Session 47: Poster discussion session: Embryology. P-217.
ABSTRACT: Clinical Limitations Of Manual Oocyte Quality Scoring By Embryologists Are Overcome By An Artificial Intelligence (AI) Oocyte Image Analysis Tool
D. Nayot, N. Findikli, O. Olcay, H. Kisaoglu, N. Siddique, N. Mercuri, J. Fjeldstad.
ESHRE 39th Annual Meeting, 2023.
Poster viewing: Embryology. P-274.
ABSTRACT: A Non-Invasive, 2-Dimensional (2D) Image Analysis Artificial Intelligence (AI) Tool Scores Mature Oocytes And Correlates With The Quality Of Subsequent Blastocyst Development
N. Mercuri, J. Fjeldstad, A. Krivoi, J. Meriano, D. Nayot.
ASRM Scientific Congress & Expo 2022. O-191 11:45 AM Wednesday, October 26, 2022.
Fertility & Sterility, Vol. 118, No. 4, Supplement, E78-79, October 2022.
ABSTRACT: Non-Invasive Ai Image Analysis Unlocks The Secrets Of Oocyte Quality And Reproductive Potential By Assigning ‘Magenta’ Scores From 2-Dimensional (2-D) Microscope Images
J. Fjeldstad, N. Mercuri, J. Meriano, A. Krivoi, A. Campbell, R. Smith, K. Berrisford, C. Drezet, R. Casper, D. Nayot.
ESHRE 38th Annual Meeting, 2022. O-204 Session 31: Novel approaches in oocyte assessment.
Human Reproduction, Vol. 37, Supp 1, i59-60, 2022.
ABSTRACT: A Novel Non-Invasive Oocyte Scoring System Using Ai Applied To 2-Dimensional Images
D. Nayot, N. Mercuri, A. Krivoi, R. Casper, J. Meriano, J. Fjeldstad.
ASRM Scientific Congress & Expo 2021. O-192 12:00 PM Wednesday, October 20, 2021.
Fertility & Sterility, Vol. 116, No. 3, Supplement, E474, September 2021.
ABSTRACT: Can An AI Image Analysis Tool (VIOLET) Provide Better Predictions Of Oocyte Potential Than The Current Standard, Patient Age, As It Relates To Blastocyst Development?
N. Mercuri, J. Fjeldstad, M. Jaberipour, N. Siddique, D. Nayot.
ESHRE 39th Annual Meeting, 2023.
Poster viewing: Embryology. P-268.
ABSTRACT: Independent Assessment Of An Artificial Intelligence-Based Image Analysis Tool To Predict Fertilisation And Blastocyst Utilisation Potential Of Oocytes, And Comparison With Ten Expert Embryologists
A. Campbell, D. Nayot, A. Krivoi, A. Barrie, K. Jordan, L. Jenner, L. Nice, C. Miralles, S. Barlow, L. Best, Y. Lodge, R. Smith.
Fertility Conference 2021. Oral Presentation SP3.5.
Fertility 2021 Conference Abstracts, p.14.
ABSTRACT: An Oocyte Assessment Tool Using Machine Learning: Predicting Blastocyst Development Based On A Single Image Of An Oocyte
D. Nayot, J. Meriano, R. Casper, A. Krivoi.
ESHRE 36th Annual Meeting, 2020. O-285 Session 69: Biomarkers of developmental competence.
Human Reproduction, Vol. 35, Supp 1, i129-130, 2020.
ABSTRACT: Counseling Oocyte Cryopreservation Patients: The Impact Of The Time Interval From Counseling To Retrieval On The Concordance Between Pre-Treatment Predictions And
Post-Retrieval Parameters
L. Whitehead, G. Nakhuda.
CFAS Annual Meeting 2022. Poster presentation.
ABSTRACT: Picture Perfect?: Determining The Clinical Utilization Of Artificial Intelligence In Oocyte Cryopreservation
C. Peschansky, S. Patel, A. Jawaria, S. Dynia, S. Usmani, R. Lynn, K. Vitale, L. Grimm, A. Ahmad, R. Jeelani, A. Beltsos,
E. Louden.
ASRM Scientific Congress & Expo 2021. P-106 6:30 AM Tuesday, October 19, 2021.
Fertility & Sterility, Vol. 116, No. 3, Supplement, E157, September 2021.