# Familiarity, attitude and practice of postgraduate health science students of Pakistan regarding the implication of artificial intelligence in research: an analytical survey

**Authors:** Najia Rahim, Shagufta Nesar, Unaiza Pervaiz Hashmi, Abdur Rasheed, Sania Majeed, Bushra Noor, Ale Zehra, Mahmooda Naqvi, Muhammad Salahuddin Usmani, Shazia Jamshed

PMC · DOI: 10.1186/s12909-026-08632-x · BMC Medical Education · 2026-01-30

## TL;DR

This study explores Pakistani health science students' familiarity, attitudes, and practices regarding artificial intelligence in research.

## Contribution

The study provides new insights into PGHS students' perceptions and training needs regarding AI in healthcare research in Pakistan.

## Key findings

- Most students believe AI is useful in research but lack formal AI training.
- Over half of the students believe AI will transform healthcare but not replace researchers.
- Students show strong support for integrating AI training into health science curricula.

## Abstract

Artificial intelligence (AI) is one of the areas of healthcare research that is now growing at the fastest rate in the healthcare sector. This is momentous to know about Pakistani postgraduate health science (PGHS) students’ familiarity, attitudes, and practice regarding the implication of AI in research. Therefore, the current study was designed and conducted to explore PGHS students’ opinions.

A cross-sectional, analytical survey was used. A questionnaire was adopted and validated to seek the opinion of PGHS students. The test-retest method was used to measure reliability. Exploratory factor analysis was used to assess the construct validity of the attitude and practice scales in the questionnaire. Moreover, confirmatory factor analysis was also performed. Non-parametric Fisher Exact test was used to find any significant associations between the items and students’ characteristics.

A pre-test (n = 20 students) was conducted to assess the questionnaire’s suitability and readability, and no feedback indicated a need for modifications. The test-retest method was employed, and the total scores were then correlated, yielding an intraclass correlation value of 0.924. Factor analysis of the scale revealed a single common factor with all loadings exceeding 0.40. Cronbach’s alpha was found in the range of 0.811–0.866. A total of 257 PGHS students responded to the questionnaire. A significant majority (64%) reported no formal training in AI. The majority of students (76%) planned to integrate AI in the future. Most students agreed or strongly agreed on the usefulness of AI in academic research (93%). Almost 60% of students strongly agreed or agreed that AI will transform health care and clinical research. Half of them believed that AI tools would not replace researchers.

PGHS students have a positive opinion regarding AI and acknowledge its potential to improve problem-solving and research. However, there are serious worries about the ethical ramifications of AI, accuracy, and employment displacement. The majority of students supported the introduction of AI training, which seems to be a current deficiency in the health science curriculum in Pakistan. To promote the broader use of AI-enabled healthcare research, a multifaceted strategy that addresses specific issues, provides customized training, and includes education is required.

The online version contains supplementary material available at 10.1186/s12909-026-08632-x.

## Full-text entities

- **Diseases:** PGHS (OMIM:603663), coronavirus (MESH:D018352), AI (MESH:C538142)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

3 references — full list in the complete paper: https://tomesphere.com/paper/PMC12931079/full.md

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Source: https://tomesphere.com/paper/PMC12931079