AI-Powered Menstrual Health Tracking

Authors

  • Juhi Deshpande Author
  • Chanchal Kumar Singh Author

DOI:

https://doi.org/10.62046/gijams.2025.v03i02.002

Keywords:

Menstrual health, Artificial intelligence (AI) , Women's health , Reproductive health , Menstrual cycle tracking

Abstract

Artificial intelligence (AI) and machine learning (ML) have improved menstrual health tracking. AI-powered menstrual health tracking systems provide personalized predictions of menstrual cycles, detect irregularities, and offer tailored recommendations. This commentary discusses physiological and psychological correlates of menstrual health and machine learning algorithms for menstrual health tracking. We highlight future research directions, including integration with wearable devices and development of personalized models. AI-powered menstrual health tracking can enhance women's health.

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Published

2025-03-08

Issue

Vol. 3 No. 2 (2025)

Section

Articles

License

Copyright (c) 2025 Juhi Deshpande,Chanchal Kumar Singh (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

The Greenfort International Journal of Applied Medical Science is published under the Creative Commons Attribution Non-Commercial 4.0 International (CC BY-NC 4.0) license. This license permits any non-commercial use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and the source.

https://creativecommons.org/licenses/by-nc/4.0/deed.en

How to Cite

AI-Powered Menstrual Health Tracking. (2025). Greenfort International Journal of Applied Medical Science, 3(2), 40-42. https://doi.org/10.62046/gijams.2025.v03i02.002