Background: Artificial intelligence (AI) is gaining prominence in the field of medicine with potential benefits in diagnosis, treatment, and medical education. However, the extent to which medical students are informed about AI, their attitudes toward the integration of AI with medicine, and their engagement in AI-related practices remains an essential aspect yet to be explored.
Aims and Objectives: This study aims at assessing the knowledge, attitude, and practice of AI among medical students in a tertiary care hospital and understanding the perspectives of students toward AI as a teaching tool and in medical practice.
Materials and Methods: This is a cross-sectional study using an online survey consisting of closedended questions under categories of demographical data, knowledge, attitude, practice, and discussion among medical students of a government medical college and hospital in Kallakurichi.
Results: Among 150 participants of the study, 74.16% were found to have a basic knowledge of AI cumulatively. 49.33% of the participants reported that they expected a positive impact of AI in health care; 14.0% shared that AI could have a negative impact on existing health-care practices; and the remaining 36.67% were impartial toward the outcome of AI integration. 10.67% of participants were extremely confident in their AI skills in medical practice; 26% reported that they were somewhat confident; 45.33% believed that they could adapt if needed; and 18% were uncertain of it. Finally, 17.33% were accepting toward AI evaluating their clinical skills, 36.0% were in strong denial of AI-based evaluation, and 46.67% agreed that it could be useful in some specific cases.
Conclusion: In conclusion, the study highlights the current level of knowledge and attitudes of medical students toward AI. Incorporating AI tools and knowledge into medical education may lead to more informed and positively inclined future health-care professionals who can harness the potential benefits of AI in health care and advance medical knowledge.
Key words: Artificial Intelligence; Medical Education; Medical Curriculum; Machine Learning
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