Purpose
To investigate medical undergraduates' understanding, utilization, and perspectives on artificial intelligence (AI), focusing on its perceived benefits, challenges, and implications for medical education and practice.

Methods
A mixed-methods study combining quantitative surveys and qualitative thematic analysis. Surveys assessed students' AI knowledge sources, understanding levels, experiences, and perceptions of AI's impact. Open-response questions were analyzed to identify key themes.

Results
Quantitative data from 42 participants revealed that students have a moderate understanding of AI applications in medical education (mean score of 2.8 out of 5) and practice (mean score of 2.7 out of 5). AI is primarily understood through informal sources with 76% and 71% of participants reporting their understanding coming from news and personal experience respectively. AI was seen as beneficial for summarizing research papers (mean score of 3.7 out of 5) and educational content (mean score of 3.7 out of 5). However, significant ethical concerns and fear of over-dependence were prevalent. Qualitative analysis identified themes such as a broad conceptualization of AI, its potential to enhance efficiency and learning, skepticism about its current limitations, ethical and responsibility concerns, and mixed emotions regarding its impact on medicine. Barriers to AI adoption include financial constraints, limited access to technology, and integration challenges.

Conclusion
Medical undergraduates recognize AI's potential to enhance educational and clinical outcomes but are cautious due to ethical concerns and practical barriers. There is a strong demand for interactive, practical AI applications and structured integration into medical curricula, supported by clear guidelines and ethical training. Furthermore, the data show a clear desire and potential benefit in collaborative efforts to adapt and integrate AI into both personal and professional lives, improving both. Addressing these barriers is crucial for leveraging AI’s full potential in medical education and healthcare.