Posters

Academic Level (Author 1)

Faculty

Discipline/Specialty (Author 1)

Neuroscience

Academic Level (Author 2)

Medical Student

Discipline Track

Biomedical Science

Abstract

In our study, we explore the integration of AI technologies and innovative teaching methodologies to enhance medical education. We examine the implementation of AI-driven tools, such as adaptive learning systems, virtual patient simulations, and AI-powered assessment methods, to promote critical thinking, problem-solving, and engagement among medical students. Faculty development workshops, online resources, and collaborative research projects are outlined as key strategies for fostering an environment of continuous learning and improvement. The research also delves into AI-generated imagery and open educational resources, highlighting their potential to enrich curricula and personalize learning experiences. By leveraging AI for data storytelling, medical educators can present complex clinical data in accessible, insightful ways, enhancing students' understanding of medical concepts. The discussion includes the role of AI in personalizing student learning paths, providing tailored feedback, and identifying knowledge gaps. Furthermore, the integration of AI policies and leadership in medical education institutions is emphasized to ensure ethical and effective AI use. AI-driven critical thinking activities and personalized discussion prompts are proposed to deepen student engagement and foster a collaborative learning environment. This comprehensive approach aims to prepare future healthcare professionals for the rapidly evolving landscape of healthcare delivery. Through the seamless integration of AI technologies and critical thinking pedagogy, this paper advocates for a transformative shift in medical education, equipping students with the skills necessary to excel in their careers and become lifelong learners and critical thinkers.

Presentation Type

Poster

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Revolutionizing Medical Education: Harnessing AI to Cultivate Critical Thinking Skills

In our study, we explore the integration of AI technologies and innovative teaching methodologies to enhance medical education. We examine the implementation of AI-driven tools, such as adaptive learning systems, virtual patient simulations, and AI-powered assessment methods, to promote critical thinking, problem-solving, and engagement among medical students. Faculty development workshops, online resources, and collaborative research projects are outlined as key strategies for fostering an environment of continuous learning and improvement. The research also delves into AI-generated imagery and open educational resources, highlighting their potential to enrich curricula and personalize learning experiences. By leveraging AI for data storytelling, medical educators can present complex clinical data in accessible, insightful ways, enhancing students' understanding of medical concepts. The discussion includes the role of AI in personalizing student learning paths, providing tailored feedback, and identifying knowledge gaps. Furthermore, the integration of AI policies and leadership in medical education institutions is emphasized to ensure ethical and effective AI use. AI-driven critical thinking activities and personalized discussion prompts are proposed to deepen student engagement and foster a collaborative learning environment. This comprehensive approach aims to prepare future healthcare professionals for the rapidly evolving landscape of healthcare delivery. Through the seamless integration of AI technologies and critical thinking pedagogy, this paper advocates for a transformative shift in medical education, equipping students with the skills necessary to excel in their careers and become lifelong learners and critical thinkers.

 

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