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AI-Powered Menstrual Health Tracking

Year: 2025

Type: article

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.

Source: Greenfort International Journal of Applied Medical Science

DOI: 10.62046/gijams.2025.v03i02.002

Authors: Juhi Deshpande, Chanchal Kumar Singh

Language: English

Topic: Menstrual Health and Disorders

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4408408329

FWCI: 0.849

Cites:

Cited by: 1

Related to: 10