Knowledge, Attitude, and Practice Towards Artificial Intelligence Among Postgraduate Medical Students in Tamil Nadu: A Cross-Sectional Study
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Background: Artificial Intelligence (AI) is revolutionizing medical education and clinical decision-making. Despite its growing importance, structured training among postgraduate (PG) medical students remains limited1. This study aims to assess the knowledge, attitude, and practice (KAP) towards AI among postgraduate medical students in Tamil Nadu3.
Methods: A descriptive cross-sectional online survey was conducted among 74 postgraduate medical students using a validated Google Form. The questionnaire assessed awareness, perception, and practical exposure toward AI in medicine2. Data were analyzed using descriptive statistics and displayed as charts for better visualization4.
Results: Among respondents, 91.9% were aware of AI and 58.1% knew its medical applications. However, only 29.7% had formal training. While 87% supported AI integration into the curriculum, 59% expressed concern about ethical issues and data security. A positive attitude was observed in over 80% of participants toward AI’s role in improving diagnostics and accessibility.
Conclusion: Postgraduate students exhibit high enthusiasm for AI integration, though knowledge gaps persist. Incorporation of structured AI training and ethical sensitization within medical curricula is crucial for future-ready healthcare professionals.