E-ISSN : 2983-3973
Background; The rapid advancement of artificial intelligence and radiological technologies has transformed the medical landscape, increasing the need for their integration into Korean medicine education. Traditional acupuncture courses, which emphasize theoretical instruction, often fail to develop the clinical reasoning and problem-solving skills required for clinical practice. Methods; A discussion-based education model integrating imaging diagnostics (X-ray, MRI, CT, and ultrasound) was designed to enhance students' clinical competence. The course involved small group discussions, case-based analysis, and diagnostic image interpretation. The curriculum was delivered through a 5-week program with weekly 2-hour sessions, covering both theoretical foundations and clinical applications. Group discussions were guided by structured questions, and students submitted collaborative reports for assessment. Results, Discussion and Conclusion; The new educational model demonstrated increased student confidence in image interpretation, enhanced communication skills, and greater engagement in self-directed learning. Students reported reduced anxiety toward diagnostic imaging and improved critical thinking skills. Challenges included time constraints and varying levels of participation. Proposed improvements include mandatory individual contributions, enhanced feedback, and the use of medical imaging software for interactive learning. This approach equips future doctors of Korean medicine with essential skills to navigate the evolving healthcare environment, fostering a more integrated and holistic medical practice.