Figure 3
The diagram presents a conceptual framework for achieving equitable access to AI in medical education. It is divided into three main sections: Equitable Access, Bias, and AI Literacy and Education. The first section, Equitable Access, includes factors such as demographic disparities, geographic equity, and infrastructure requirements. The second section, Bias, addresses cultural appropriateness, contextual relevance, and the underrepresentation of minority groups. The third section, AI Literacy and Education, highlights limited curriculum integration, faculty preparedness, and critical appraisal skills. Below these sections, the diagram lists Equity Facilitators, which include co-development of tools, contextual and cultural relevance, institutional collaboration and partnerships, and AI education and integration in the curriculum. The overall structure emphasizes the importance of addressing these factors to democratize access to quality medical education globally.Conceptual framework of equity in AI enabled medical education