Purpose
Artificial Intelligence is poised to revolutionize healthcare, yet medical educators face challenges in equipping students with the knowledge and skills necessary to engage with this transformative technology critically and ethically. This abstract describes a novel educational intervention combining experiential learning strategies with ethical considerations, designed to prepare first-year medical students for clinical integration of AI.

Methods
This initiative integrates "play-based learning" principles with interactive lab sessions focusing on AI in healthcare. After reviewing a recorded twenty-minute introductory lecture, first-year medical students participated in a two-hour session encompassing a brief lecture, case-based discussions, and a hands-on supervised learning experiment using the Teachable Machine. Key topics included AI model accuracy, clinical utility, and ethical implications such as bias, justice, and data privacy. Students explored the historical development of AI and real-world applications (e.g., retinal imaging for rural patients) and conducted a SWOT analysis of generalized and specialized large language models. Active experimentation and structured reflection anchored the learning process.

Results
Preliminary outcomes indicate increased student engagement and improved comprehension of AI fundamentals. Students demonstrated an ability to articulate the benefits and limitations of AI in healthcare and recognized the necessity of clinician oversight in its implementation. Feedback highlighted the effectiveness of the hands-on lab in solidifying theoretical concepts and fostering critical thinking about the ethical implications of AI-driven decisions.

Conclusion
Integrating experiential learning with ethical discussions offers a compelling framework for teaching Artificial Intelligence in medical and other allied healthcare education. By allowing students to "play" with AI technologies in a structured environment, educators can foster a deeper understanding of AI’s role in healthcare while preparing future clinicians to critically evaluate and ethically adopt these tools. This approach holds promise for broad application across healthcare curricula.