Michael Fanton

Medicine · Health Sciences

15h-index631citations43works2.62yr avg
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Research Topics

Automotive and Human Injury Biomechanics(13), Reproductive Biology and Fertility(11), Ovarian function and disorders(11), Traumatic Brain Injury Research(11), Assisted Reproductive Technology and Twin Pregnancy(9)

Publications43 total

EVALUATION OF ARTIFICIAL INTELLIGENCE FOR EMBRYO SELECTION DURING IVF: A PROSPECTIVE, RANDOMIZED CONTROLLED TRIAL
Fertility and Sterility·2025Open Access
ARTIFICIAL INTELLIGENCE TO LEVEL THE NUMBER OF VAGINAL OOCYTE RETRIEVALS PER DAY AT A SINGLE CLINIC
Fertility and Sterility·2025Open Access
A blastocyst’s implantation potential is linked to its originating oocyte cohort’s blastulation rate: evidence for a cohort effect
Fertility and Sterility·2024· 5 cited
Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India)
npj Digital Medicine·2024· 4 citedOpen Access
EVALUATION OF THE EFFECT ON ONGOING PREGNANCY RATE OF USING ARTIFICIAL INTELLIGENCE FOR EMBRYO PRIORITIZATION: AN INTERIM ANALYSIS OF A PROSPECTIVE RANDOMIZED CONTROL TRIAL
Fertility and Sterility·2024Open Access
Optimizing oocyte yield utilizing a machine learning model for dose and trigger decisions, a multi-center, prospective study
Scientific Reports·2024· 14 citedOpen Access
USING A MACHINE LEARNING MODEL FOR IDENTIFYING AN INDIVIDUALIZED OPTIMAL STARTING FSH DOSE
Fertility and Sterility·2024
OPTIMIZING OOCYTE YIELD UTILIZING A MACHINE LEARNING MODEL FOR DOSE AND TRIGGER DECISIONS: A MULTI-CENTER, PROSPECTIVE STUDY
Fertility and Sterility·2024Open Access
Optimizing Oocyte Yield Utilizing a Machine Learning Model for Dose and Trigger Decisions: A Multi-Center, Prospective Study
Research Square (Research Square)·2024Open Access
EVALUATING THE INTEGRATION OF TWO INDEPENDENTLY-DEVELOPED ARTIFICIAL INTELLIGENCE TOOLS FOR PREDICTING OUTCOMES IN OVARIAN STIMULATION
Fertility and Sterility·2023· 2 citedOpen Access
Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy
npj Digital Medicine·2023· 30 citedOpen Access
CAUSAL INFERENCE INDICATES THAT POOR RESPONDERS GOING THROUGH A REPEAT CYCLE HAVE COMPARABLE OR BETTER OUTCOMES WITH ANTAGONIST PROTOCOL COMPARED TO FLARE
Fertility and Sterility·2023Open Access
AN ARTIFICIAL INTELLIGENCE MODEL TO PREDICT UPCOMING EMBRYOLOGY WORKLOAD FOR PATIENTS UNDERGOING OVARIAN STIMULATION
Fertility and Sterility·2023Open Access
Applications of artificial intelligence in ovarian stimulation: a tool for improving efficiency and outcomes
Fertility and Sterility·2023· 41 citedOpen Access
Causal inference indicates that poor responders have similar outcomes with the antagonist protocol compared with flare
Fertility and Sterility·2023· 4 citedOpen Access
A higher number of oocytes retrieved is associated with an increase in fertilized oocytes, blastocysts, and cumulative live birth rates
Fertility and Sterility·2023· 72 cited
Applying Machine Learning to Consumer Wearable Data to Predict Complications After Pediatric Appendectomy
Research Square (Research Square)·2022Open Access
AN INTERPRETABLE AND GENERALIZABLE MACHINE LEARNING MODEL FOR OPTIMIZING DAY OF TRIGGER DURING OVARIAN STIMULATION
Fertility and Sterility·2022· 1 cited
A NOVEL APPROACH FOR RETROSPECTIVELY ESTIMATING THE EFFICIENCY OF PGT-A TESTING
Fertility and Sterility·2022
SELECTION OF OPTIMAL GONADOTROPIN DOSE USING MACHINE LEARNING MAY BE ASSOCIATED WITH IMPROVED OUTCOMES AND REDUCED UTILIZATION OF FSH
Fertility and Sterility·2022· 4 cited
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Frequent Co-authors

Kevin Loewke(14), David B. Camarillo(13), Valerie L. Baker(6), Oleksii O. Barash(6), Arun Jayaraman(6), Calvin Kuo(6), Alan B. Copperman(5), Hossein Vahid Alizadeh(5), Vaishali Suraj(5), Louis N. Weckstein(4), Lyndia C. Wu(4), August G. Domel(4), Gerald A. Grant(4), David I. Hoffman(4), Justina Hyunjii Cho(3), Eduardo Hariton(3), Megan K. O’Brien(3), Rebecca Macaluso(3), Jake Sganga(3), Chelsea M. Canon(3)