Attitude of Medical Institution Faculty and Undergraduate Medical Students towards Artificial Intelligence

Abstract

Background: Artificial Intelligence (AI) is the science to use computers simulate human behaviors, learning, judgment and decision-making qualities. AI is being successfully used in clinical, diagnostic, rehabilitative, surgical, and predictive practices. Objectives: Due to increased used of AI in education, this study was designed to assess the perception and attitude of Faculty and undergraduate medical students towards Artificial Intelligence” Methods: A quantitative analytical study was conducted on undergraduate medical students and faculty at a public sector institute from January, 2024 to March, 2024 after seeking ethical approval. pre-validated and reliable questionnaire General Attitudes towards Artificial Intelligence Scale (GAAIS) was used after taking consent from the authors. Data was analyzed using spss version 25.0, employing Independent Samples t-tests and One-Way ANOVA. Results: Statistically, the mean score related to positive attitudes towards AI for students was 3.767 (SD = ±0.030), and for faculty, it was 3.762 (SD = ±0.074). Regarding negative attitudes towards AI, the mean score for students was 2.683 (SD = ±0.042), and for faculty, it was 2.622 (SD = ±0.079). Moreover, a One-Way ANOVA test showed no significant difference in the positive and negative responses towards the use of AI among students based on their years of education (p > 0.1 for all comparisons), suggesting that the year of study does not significantly affect students' attitudes towards AI. Conclusion: The study at Punjab Medical College reveals a broadly positive perception of artificial intelligence (AI) among faculty and undergraduate medical students, highlighting a collective readiness to incorporate AI into medical education and practice.

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