Evidence map›Paper›PMID 42722929›Full record

ArticleJournal of religion and health2026

Can Artificial Intelligence-Based Counseling Improve Iranian Students' Spiritual Well-Being?

Ali Jafari, Ali Jadidi

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of religion and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ali JafariSchool of Medicine, Arak University of Medical Sciences, Arak, Iran.
Ali JadidiDepartment of Community Health Nursing, School of Nursing, Arak University of Medical Sciences, Arak, Iran. Jadidi.ali83@gmail.com.ORCID http://orcid.org/0000-0001-9870-9779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancement of artificial intelligence (AI) technology has provided new opportunities to promote spiritual health. This study aimed to compare artificial intelligence-based counseling with face-to-face counseling on the spiritual well-being of medical students at Arak University of Medical Sciences. This was a quasi-experimental study conducted on 105 undergraduate medical students at Arak University of Medical Sciences, Iran, in 2025. Participants were divided into three groups of 35. One group received counseling in the traditional manner and the other group received counseling using artificial intelligence. No intervention was required for the control group. Data were collected using a spiritual well-being questionnaire before and after the intervention and analyzed using SPSS software. The response rate was 100%, with all enrolled participants completing the study. The finding demonstrated that there were no statistically significant differences in mean spiritual well-being scores among the three groups prior to the intervention. The total score for spiritual well-being and its religious subdimension showed statistically significant increases after the intervention in the AI counseling group compared to before intervention (P < 0.05). No significant changes were observed in other variables. Artificial intelligence-based spiritual counseling significantly increased students' spiritual well-being, especially their religious dimension, and overall had a significant advantage over the control group, although no significant difference was seen with the traditional counseling group. The use of AI can play an effective role in promoting students' spiritual well-being.

Indexed as

Artificial IntelligenceCounselingSpiritualityStudents, MedicalAdultFemaleHumansIranMalePsychological Well-BeingSurveys and QuestionnairesYoung AdultArtificial intelligenceCounselingQuasi-experimental studySpiritualitySpiritual well-beingStudents

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.