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

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.

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Publication Details

Journal
BMC Medical Education
Published
2026-01-30
DOI
https://doi.org/10.1186/s12909-026-08632-x
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

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

Muhammad Salahuddin Usmani, Shazia Jamshed, Ale Zehra, Mahmooda Naqvi et al.
BMC Medical Education
Artificial Intelligence in Healthcare and Education
article

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

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

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.

BMC Medical EducationVol. 26(1)
Shifa Tameer-e-Millat University (PK), Jinnah University for Women (PK), University of Karachi (PK), Jinnah Sindh Medical University (PK), Jinnah Medical & Dental College (PK), Dow University of Health Sciences (PK), Pakistan Institute of Learning and Living (PK), Sohail University, IMU University (MY)
Openalex Percentile: Top 75%
Artificial Intelligence in Healthcare and Education
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