Generative Artificial Intelligence in Menopausal Health: A Scoping Review

This scoping review maps empirical research on generative artificial intelligence (GenAI) in menopausal health, including menopause and menopause-related conditions. It examines the tools studied, their purposes, evaluation approaches and findings, and the involvement and perspectives of women across menopausal stages. The review follows JBI methodology and is reported using PRISMA-ScR and PRISMA-S. Searches of 11 electronic databases and platforms, supplemented by Google Scholar, were conducted on 25 October 2026. Eligible reports were English-language empirical journal articles, conference papers, and conference abstracts published from 30 November 2022. Fifteen studies were included. The synthesis describes study characteristics, applications, evaluation outcomes, and evidence gaps. This deposit was prepared after completion of the searches and initial synthesis and provides a transparent retrospective record of the review methods.

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Publication Details

Journal
Open Science Framework
Published
2026-10-26
DOI
https://doi.org/10.17605/osf.io/92zq3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Generative Artificial Intelligence in Menopausal Health: A Scoping Review

Lilach Alon, Inbar Levkovich
Open Science Framework
Artificial Intelligence in Healthcare and Education
article

Generative Artificial Intelligence in Menopausal Health: A Scoping Review

Lilach Alon, Inbar Levkovich
article en

Abstract

This scoping review maps empirical research on generative artificial intelligence (GenAI) in menopausal health, including menopause and menopause-related conditions. It examines the tools studied, their purposes, evaluation approaches and findings, and the involvement and perspectives of women across menopausal stages. The review follows JBI methodology and is reported using PRISMA-ScR and PRISMA-S. Searches of 11 electronic databases and platforms, supplemented by Google Scholar, were conducted on 25 October 2026. Eligible reports were English-language empirical journal articles, conference papers, and conference abstracts published from 30 November 2022. Fifteen studies were included. The synthesis describes study characteristics, applications, evaluation outcomes, and evidence gaps. This deposit was prepared after completion of the searches and initial synthesis and provides a transparent retrospective record of the review methods.

Open Science Framework
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare and Education
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Generative Artificial Intelligence in Menopausal Health: A Scoping Review — Lilach Alon, Inbar Levkovich · Open Science Framework (2026) | TGRS Research Map | TGRS