| Prerequisites |
- Basic Medical Knowledge: Participants should have foundational knowledge of clinical practices, medical terminology and patient care processes.
- Familiarity with Healthcare Systems: A basic understanding of healthcare systems, including electronic health records (EHRs) and patient workflows will be beneficial.
- Interest in Technology Integration: A keen interest in exploring the intersection of AI and healthcare, along with a willingness to learn about AI applications in medical settings.
- Data Literacy: A basic understanding of data concepts, including data collection, analysis, and interpretation, is recommended for understanding AI models and metrics.
- Problem-Solving Mindset: Ability to approach challenges with a solutions-oriented mindset, especially when evaluating AI systems and adapting them to clinical settings.
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