Clinical evaluation and predictive model development of AI-based non-invasive embryo selection in <i>in vitro</i> fertilization patients.
- DOI
- 10.3389/fendo.2026.1920306
- Published
- 2026-09-01
- Container
- Front Endocrinol (Lausanne)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fendo.2026.1920306,
title = {Clinical evaluation and predictive model development of AI-based non-invasive embryo selection in \<i\>in vitro\</i\> fertilization patients.},
author = {Zhu P and Bi X and Su D and Zhang X and Wu X.},
year = {2026},
journal = {Front Endocrinol (Lausanne)},
doi = {10.3389/fendo.2026.1920306},
url = {https://doi.org/10.3389/fendo.2026.1920306}
}RIS
TY - JOUR TI - Clinical evaluation and predictive model development of AI-based non-invasive embryo selection in <i>in vitro</i> fertilization patients. AU - Zhu P AU - Bi X AU - Su D AU - Zhang X AU - Wu X. PY - 2026 JO - Front Endocrinol (Lausanne) DO - 10.3389/fendo.2026.1920306 UR - https://doi.org/10.3389/fendo.2026.1920306 ER -
APA
P, Z., X, B., D, S., X, Z., & X., W. (2026). Clinical evaluation and predictive model development of AI-based non-invasive embryo selection in <i>in vitro</i> fertilization patients.. Front Endocrinol (Lausanne). https://doi.org/10.3389/fendo.2026.1920306
Source records
- europe-pmc · retrieved 2026-09-25T19:06:28.752Z
- doaj · retrieved 2026-09-25T19:06:28.760Z