AI-Based Analysis of Academic Culture in Christian Universities Using Hofstede VSM 2013

Infertility is a global health issue that often leads to social stigma and emotional isolation, profoundly affecting the well-being of individuals and couples. This study explores the role of AI-driven support networks in alleviating these challenges by providing accessible, anonymous, and personalized emotional support. Utilizing a mixed-methods approach, data was collected through surveys and interviews with infertile couples, alongside an analysis of existing AI mental health platforms. The findings reveal significant reductions in stress, anxiety, and depression levels among participants, with anonymity and scalability being the most valued features of these platforms. This study underscores the transformative potential of AI in bridging the gaps in traditional support systems, offering a scalable and inclusive solution for mental health care. The implications for healthcare providers, technology developers, and infertile couples are profound, paving the way for innovative approaches to addressing stigma and emotional well-being.

Authors

Institutions

Publication Details

Journal
International Transactions on Artificial Intelligence (ITALIC)
Published
2025-05-02
DOI
https://doi.org/10.33050/italic.v3i2.733
Primary Topic
activated carbon and charcoal
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Based Analysis of Academic Culture in Christian Universities Using Hofstede VSM 2013

Asri Asri, Ida Faridah, Dhea Ayunanda Astrieta, Dyah Juliastuti et al.
International Transactions on Artificial Intelligence (ITALIC)
activated carbon and charcoal
article

AI-Based Analysis of Academic Culture in Christian Universities Using Hofstede VSM 2013

Asri Asri, Ida Faridah, Dhea Ayunanda Astrieta, Dyah Juliastuti, Lita Anggraini, Krishna Chaitanya Pokkali
article en

Abstract

Infertility is a global health issue that often leads to social stigma and emotional isolation, profoundly affecting the well-being of individuals and couples. This study explores the role of AI-driven support networks in alleviating these challenges by providing accessible, anonymous, and personalized emotional support. Utilizing a mixed-methods approach, data was collected through surveys and interviews with infertile couples, alongside an analysis of existing AI mental health platforms. The findings reveal significant reductions in stress, anxiety, and depression levels among participants, with anonymity and scalability being the most valued features of these platforms. This study underscores the transformative potential of AI in bridging the gaps in traditional support systems, offering a scalable and inclusive solution for mental health care. The implications for healthcare providers, technology developers, and infertile couples are profound, paving the way for innovative approaches to addressing stigma and emotional well-being.

International Transactions on Artificial Intelligence (ITALIC)Vol. 3(2)
Yarsi University (ID), Wayne State University (US), SASTRA University (IN)
Openalex Percentile: Top 80%
activated carbon and charcoal
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI-Based Analysis of Academic Culture in Christian Universities Using Hofstede VSM 2013 — Asri Asri, Ida Faridah, et al. · International Transactions on Artificial Intelligence (ITALIC) (2025) | TGRS Research Map | TGRS