Perceptions of Artificial Intelligence in Medical Education: A Cross-Sectional Study Among Students and Faculty at HBS Medical and Dental College, Islamabad DOI
Sarah Ali,

Saiqa Saleem,

Rehab Falak

et al.

Pakistan Journal of Health Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 130 - 135

Published: May 31, 2025

As artificial intelligence (AI) continues to transform healthcare, its integration into medical education is increasingly critical. However, many institutions lack formal AI curricula, leaving students and faculty underprepared for the digital demands of clinical practice. Objectives: To assess awareness, familiarity, perceived benefits, concerns regarding among faculty, explore training preferences barriers in academic settings. Methods: A descriptive cross-sectional survey was conducted at a HBS Medical Dental College, with total 100 participants (76 24 faculty). questionnaire assessed demographic characteristics, benefits concerns, interest training. Chi-square tests logistic regression were used analyse group differences predictors interest. Results: Most (60%) under 25 years old, 76% students. While 68% had heard AI, only 43% reported basic familiarity. Interest high (87%). Commonly cited included faster knowledge access personalized learning, while focused on ethical issues misinformation. significant association found between role (p=0.041). Logistic showed non-significant trend linking prior exposure (p=0.125). Conclusions: It concluded that there strong enthusiasm both faculty. limited familiarity highlight need structured targeted curriculum reforms build competence future healthcare professionals.

Language: Английский

Perceptions of Artificial Intelligence in Medical Education: A Cross-Sectional Study Among Students and Faculty at HBS Medical and Dental College, Islamabad DOI
Sarah Ali,

Saiqa Saleem,

Rehab Falak

et al.

Pakistan Journal of Health Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 130 - 135

Published: May 31, 2025

As artificial intelligence (AI) continues to transform healthcare, its integration into medical education is increasingly critical. However, many institutions lack formal AI curricula, leaving students and faculty underprepared for the digital demands of clinical practice. Objectives: To assess awareness, familiarity, perceived benefits, concerns regarding among faculty, explore training preferences barriers in academic settings. Methods: A descriptive cross-sectional survey was conducted at a HBS Medical Dental College, with total 100 participants (76 24 faculty). questionnaire assessed demographic characteristics, benefits concerns, interest training. Chi-square tests logistic regression were used analyse group differences predictors interest. Results: Most (60%) under 25 years old, 76% students. While 68% had heard AI, only 43% reported basic familiarity. Interest high (87%). Commonly cited included faster knowledge access personalized learning, while focused on ethical issues misinformation. significant association found between role (p=0.041). Logistic showed non-significant trend linking prior exposure (p=0.125). Conclusions: It concluded that there strong enthusiasm both faculty. limited familiarity highlight need structured targeted curriculum reforms build competence future healthcare professionals.

Language: Английский

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