P-40 Usage patterns of artificial intelligence tools among premedical and basic science medical students at Texila American University, Guyana
Author(s):
A Teeluck, P Budhram Mahadeo
Year of Presentation:
2026
Objective: This study assessed the frequency and patterns
of artificial intelligence (AI) tool use among premedical
and basic science students at Texila American University,
Guyana, and examined associations with academic integrity gaps and concerns about diagnostic atrophy. By situating findings within the Caribbean context, it contributes
to regional discourse on AI literacy and medical education
reform.
Methods: A cross-sectional anonymous online survey was conducted using Google Forms, achieving a 92% response rate with 55 completed questionnaires
Results: Of 55 respondents, 26 were male and 29 female, representing both premedical and basic science cohorts. High-frequency AI use (daily/very frequent) was reported by 67.3%, moderate (weekly) use by 27.3%, and low (rare/ occasional) use by 5.5%. Nondisclosure of AI use in assignments occurred in 32.7% overall (males 38.4%, females 27.5%; p=0.38). Diagnostic atrophy concerns were reported by 61.8%. AI inaccuracy and data privacy concerns were more frequently reported by females, with data privacy reaching statistical significance (p=0.045). Unsafe reliance on AI for exam preparation was associated with higher odds of nondisclosure (OR 2.15, 95% CI 1.02–4.54; p=0.04). Daily AI users were more likely to express concern about loss of independent reasoning (OR 3.12, 95% CI 1.25–7.78; p=0.01).
Conclusion: AI adoption demonstrates a dual effect of enhancing efficiency while raising ethical and pedagogical challenges. The observed usage–integrity paradox underscores the need for structured AI literacy integration within Caribbean medical curricula. Holistic training should balance technological proficiency with independent reasoning. Regional bodies such as CARPHA can support policy development, surveillance, and integrated programming to safeguard medical education integrity.