Author

Vaishali Suraj

Observed names: V Suraj, V. Suraj

ORCID: 0009-0009-2148-8010

Observed ORCID: 0009-0009-2148-8010

OpenAlex ID: A5091154537

Atypical embryo phenotypes identified by time-lapse microscopy: high prevalence and association with embryo development

2014 · Kelly Athayde Wirka, Alice A. Chen, et al. · Fertility and Sterility · 168

Computer-automated time-lapse analysis results correlate with embryo implantation and clinical pregnancy: A blinded, multi-centre study

2014 · Matthew D. VerMilyea, Lei Tan, et al. · Reproductive BioMedicine Online · 124

Biomarkers identified with time-lapse imaging: discovery, validation, and practical application

2013 · Alice A. Chen, Lei Tan, et al. · Fertility and Sterility · 121

Using the Eeva Test™ adjunctively to traditional day 3 morphology is informative for consistent embryo assessment within a panel of embryologists with diverse experience

2014 · Michael P. Diamond, Vaishali Suraj, et al. · Journal of Assisted Reproduction and Genetics · 47

Optimizing oocyte yield utilizing a machine learning model for dose and trigger decisions, a multi-center, prospective study

2024 · Chelsea Canon, Lily Leibner, et al. · Scientific Reports · 27

Development and validation of an automated computer vision algorithm for real-time embryo viability prediction

2012 · K. Loewke, F. Moussavi, et al. · Fertility and Sterility · 4

Evaluation of Artificial Intelligence for Embryo Selection During Ivf: a Prospective, Randomized Controlled Trial

2025 · Oleksii O. Barash, Kathleen A. Miller, et al. · Fertility and Sterility · 1

Evaluation of the Effect on Ongoing Pregnancy Rate of Using Artificial Intelligence for Embryo Prioritization: an Interim Analysis of a Prospective Randomized Control Trial

2024 · Oleksii O. Barash, Kathleen A. Miller, et al. · Fertility and Sterility · 1

Session 16: Embryology - Embryo in Motion

2012 · H. Ingerslev, J. Hindkjaer, et al. · Human Reproduction · 1

Optimizing Oocyte Yield Utilizing a Machine Learning Model for Dose and Trigger Decisions: a Multi-center, Prospective Study

2024 · Chelsea Canon, Lily Leibner, et al. · Fertility and Sterility

Using a Machine Learning Model for Identifying an Individualized Optimal Starting Fsh Dose

2024 · Fernanda Murillo, Michael Fanton, et al. · Fertility and Sterility

P-623 Post-market analysis of an AI-powered clinical decision support tool for ovarian stimulation

2024 · M Fanton, Z Chang, et al. · Human Reproduction

P-170 Clinical evaluation of an image-based artificial intelligence model for embryo selection: a double-blinded randomized comparative reader study

2024 · V Suraj, M Fanton, et al. · Human Reproduction

Clinical Evaluation of a Machine Learning Model for Embryo Selection: a Double-blinded Randomized Comparative Reader Study

2023 · Oleksii O. Barash, Fernanda Murillo Armijo, et al. · Fertility and Sterility

Works count: 14

Citation count: 494

H-index: 5

I10-index: 5