Answers are grounded in this paper and cite their sources.
Cross-sectional study reveals gaps in AI knowledge and positive attitudes among college students, suggesting educational improvements.
Background: Artificial intelligence (AI) includes technologies that perform tasks requiring human-like thinking. AI now plays a major role in healthcare, supporting diagnosis, clinical decisions, and patient care. As future health professionals, medical students, like other students, need a basic understanding of AI to use it responsibly. This study assesses the knowledge, attitudes, and use of AI among college students. Materials and Methods: A cross-sectional study was conducted from December 2023 to January 2024 among 465 undergraduate students, selected conveniently, from three colleges in the Imphal West district of Manipur. Data were collected using a self-administered, structured questionnaire in Google Forms. Descriptive statistics, chi-squared test, t test, and analysis of variance were applied using Statistical Package for the Social Sciences version 26, and P < 0.05 was considered statistically significant. Results: The mean age of the participants was 20.1 ± 1.9 years, and nearly half were females. Most students (291,62.6%) had inadequate knowledge of AI, and 197 (55%) participants had favorable attitudes toward AI. Among participants, 63.9% had used AI in their day-to-day lives, and 56.3% had used it for academics. Knowledge and use of AI were significantly higher among males ( P < 0.001) and engineering students ( P < 0.001). Knowledge and use were significantly higher among participants who attended previous training on AI ( P < 0.000). Conclusions: The study showed that only 4 in 10 students had adequate knowledge of AI, with engineering students having significantly greater knowledge and usage than medical students. Given AI’s expanding role in the technology-driven healthcare system, familiarizing future healthcare professionals with the basics of AI and its applications in the medical curriculum is essential to prepare them better.
No takes yet. Share an insight, caveat, or question.
Dhinu et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: