Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2025 Jun 23.
doi: 10.1007/s11547-025-02032-9. Online ahead of print.

Artificial intelligence in polycystic ovarian syndrome management: past, present, and future

Jinyuan Wang #  1 , Ruxin Chen #  2 , Haojun Long  3 , Junhui He  4 , Masong Tang  5 , Mingxuan Su  6 , Renhe Deng  7 , Yuru Chen  1 , Rongqian Ni  1 , Shuhua Zhao  1 , Meng Rao  1 , Huawei Wang  8 , Li Tang  9
Affiliations
Review

Artificial intelligence in polycystic ovarian syndrome management: past, present, and future

Jinyuan Wang et al. Radiol Med. .

Abstract

Background: Integrating artificial intelligence (AI) prospected in the practical clinical management of polycystic ovary syndrome (PCOS) promised significant improvement in efficiency, interpretability, and generalizability.

Purpose: To delineate a comprehensive inventory of AI-driven interventions pertinent to PCOS across diverse clinical contexts.

Evidence reviews: AI-based analytics profoundly transformed the management of PCOS, particularly in the domains of prediction, diagnosis, classification, and screening of potential complications.

Results: Our analysis traced the principal applications of AI in PCOS management, focusing on prediction, diagnosis, classification, and screening. Furthermore, this study ventures into the potential of amalgamating and augmenting existing digital health technologies to forge an AI-augmented digital healthcare ecosystem encompassing the prevention and holistic management of PCOS. We also discuss strategic avenues that may facilitate the clinical translation of these innovative systems.

Conclusion: This systematic review consolidated the latest advancements in AI-driven PCOS management encompassing prediction, diagnosis, classification, and screening of potential complications, developing a digital healthcare framework tailored to the practical clinical management of PCOS.

Keywords: Artificial intelligence; Digital healthcare; Polycystic ovary syndrome.

PubMed Disclaimer

Conflict of interest statement

Declarations. Conflict of interest: The authors declare that they have no conflict of interest. Ethical approval and consent to participate: No ethical approval or informed consent was needed because all the data above were available online. Additionally, all the research in this article conforms to ethics approval and consent participle.

Similar articles

See all similar articles

References

    1. Abbott D, Dumesic DJC (2021) Passing on PCOS: new insights into its epigenetic transmission. Cell Metab 33(3):463–466. https://doi.org/10.1016/j.cmet.2021.02.008 - DOI - PubMed - PMC
    1. Norman R, Dewailly D, Legro R, Hickey TJL (2007) Polycystic ovary syndrome. Lancet 370(9588):685–697. https://doi.org/10.1016/s0140-6736(07)61345-2 - DOI - PubMed
    1. Walter KJJ (2022) What is polycystic ovary syndrome? JAMA 327(3):294. https://doi.org/10.1001/jama.2021.19776 - DOI - PubMed
    1. Kakoly NS, Earnest A, Teede HJ, Moran LJ, Joham AE (2019) The impact of obesity on the incidence of Type 2 diabetes among women with polycystic ovary syndrome. Diabetes Care 42(4):560–567. https://doi.org/10.2337/dc18-1738 - DOI - PubMed
    1. Gao L, Zhao Y, Wu H, Lin X, Guo F, Li J, Long Y, Zhou B, She J, Zhang C, Sheng J, Jin L, Wu Y, Huang H (2023) Polycystic ovary syndrome fuels cardiovascular inflammation and aggravates ischemic cardiac injury. Circulation. https://doi.org/10.1161/CIRCULATIONAHA.123.065827 - DOI - PubMed - PMC

LinkOut - more resources