| Optimizing oocyte yield utilizing a machine learning model for dose and trigger decisions, a multi-center, prospective study C Canon, L Leibner, M Fanton, Z Chang, V Suraj, JA Lee, K Loewke, ... Scientific Reports 14 (1), 18721, 2024 | 3 | 2024 |
| EVALUATION OF THE EFFECT ON ONGOING PREGNANCY RATE OF USING ARTIFICIAL INTELLIGENCE FOR EMBRYO PRIORITIZATION: AN INTERIM ANALYSIS OF A PROSPECTIVE RANDOMIZED CONTROL TRIAL OO Barash, KA Miller, M Wozniak, K Kaskar, BR Sessions, MJ Abeyta, ... Fertility and Sterility 122 (4), e347, 2024 | | 2024 |
| P-623 Post-market analysis of an AI-powered clinical decision support tool for ovarian stimulation M Fanton, Z Chang, V Suraj, B Miller Human Reproduction 39 (Supplement_1), deae108. 955, 2024 | | 2024 |
| P-757 An artificial intelligence model to predict upcoming patient oocyte collections to help optimize efficiency and safety in the embryology laboratory T VerMilyea, M Fanton, Z Chang, S Sadek Human Reproduction 39 (Supplement_1), deae108. 1076, 2024 | | 2024 |
| AUTOMATED MORPHOLOGY GRADING OF BLASTOCYST STAGE EMBRYOS FROM A SINGLE IMAGE USING DEEP LEARNING Z Chang, JH Cho, D Sakkas, KA Miller, M VerMilyea, OO Barash, ... Fertility and Sterility 120 (4), e110, 2023 | | 2023 |
Michael FantonStanford University; Alife Health, Inc.在 alumni.stanford.edu 的电子邮件经过验证
