Clinical Significance of Anti-Müllerian Hormone and Antral Follicle Count in Ovarian Reserve Assessment: An Integrative Evidence Review of Reproductive Prediction, Real-World Analytics, and Precision Care

Authors

  • Xolboyeva Mashhura

Keywords:

anti-Müllerian hormone; antral follicle count; ovarian reserve; infertility; ovarian stimulation; IVF; assisted reproductive technology; reproductive aging; diminished ovarian reserve; real-world evidence; causal inference; artificial intelligence; fertility preservation; precision medicine

Abstract

 Anti-Müllerian hormone (AMH) and antral follicle count (AFC) are widely  used  to  estimate  the  quantitative  component  of  ovarian  reserve,  but  their  interpretation is frequently distorted when ovarian stimulation response is conflated  implementation implications of AMH and AFC,  including their role in assisted reproductive technology, reproductive aging, polycystic  ovary syndrome, fertility preservation and real-world evidence generation. Methods:  This  integrative  evidence  review  uses  publicly  verifiable  professional  guidance  and  peer-reviewed methodological and clinical publications, with emphasis on the 2020  American  Society  for  Reproductive  Medicine  committee  opinion,  the  updated  European  Society  of  Human  Reproduction  and  Embryology  ovarian stimulation  guidance  and  World  Health  Organization  infertility  guidance.

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References

1. Practice Committee of the American Society for Reproductive Medicine. Testing and interpreting measures of ovarian reserve: a committee opinion. Fertil Steril. 2020;114(6):1151-1157. doi:10.1016/j.fertnstert.2020.09.134.

2. European Society of Human Reproduction and Embryology. Ovarian stimulation for VF/ICSI: guideline update [Internet]. 2025. Available from: https://www.eshre.eu/OSguideline

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Published

2026-10-17

How to Cite

Clinical Significance of Anti-Müllerian Hormone and Antral Follicle Count in Ovarian Reserve Assessment: An Integrative Evidence Review of Reproductive Prediction, Real-World Analytics, and Precision Care. (2026). INTERNATIONAL SCIENTIFIC INNOVATION RESEARCH CONFERENCE, 3(4), 159-192. https://universalconference.us/index.php/isirc/article/view/7909