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Proposal for an AI-Based Anatomy Education Model through Analysis of AI Utilization among Students in Colleges of Korean Medicine.

  • Anatomy & Biological Anthropology
  • Abbr : Anat Biol Anthropol
  • 2025, 38(3), pp.181~193
  • Publisher : 대한체질인류학회
  • Research Area : Medicine and Pharmacy > Anatomy
  • Received : August 31, 2025
  • Accepted : September 25, 2025
  • Published : September 30, 2025

KIM SEON KYOUNG ORD ID 1,  Myung Ho Jin 1,  Choi SeungBae 1,  Kim Bum Hoi ORD ID 1

1동의대학교

Accredited

ABSTRACT

This study aimed to analyze the utilization patterns and perceptions of artificial intelligence (AI) among students in colleges of Korean medicine and to propose an AI-based anatomy education model. A crosssectional survey was conducted on 199 students from all academic years at D University College of Korean Medicine during the first semester of 2025. Participants were categorized into three groups based on their academic progress: Phase 1 (pre-medical years 1~2, n=89), Phase 2 (medical years 1~2, n=73), and Phase 3(medical years 3~4, n=37). The survey assessed AI awareness and understanding, usage experience and application areas, learning effectiveness, concerns, future utilization preferences, and requirements for effective utilization using a 5-point Likert scale. In results, all participants (100%) had experience using AI, with 97% having used AI for learning purposes. The primary AI applications were ‘learning assistance’ (87.4%) and ‘assignment completion’ (74.9%). ChatGPT (99.5%) was the most commonly used AI service. The subjects with highest AI utilization were biochemistry (46.4%), basic Korean medicine (45.4%), physiology/pathology (35.2%), and anatomy (34.7%). The main learning applications were ‘concept explanation/summarization’ (82.1%) and ‘generating drafts for presentations/reports’ (45.9%). While 92.8% of students agreed that AI helps improve learning comprehension, 81.7% expressed concerns about information accuracy. Among future AI learning methods, ‘paper organization and translation’ (72.4%) and ‘theoretical concept organization’ (67.9%) were most frequently desired. Moreover, the ‘development of specialized AI services for Korean medicine with high reliability’ (68.4%) emerged as the top requirement. Students in colleges of Korean medicine actively utilize AI for learning, showing relatively high usage in anatomy education. Based on these findings, we propose an AI-based anatomy education model utilizing real clinical cases. This model consists of a learning structure where instructors use AI to collect and select academic materials and clinical cases worldwide to create problems, and students derive answers using textbooks and references. Future development of specialized AI tools reflecting characteristics of Korean medicine along with establishment of systematic AI education programs are neededStudents in colleges of Korean medicine actively utilize AI for learning, showing relatively high usage in anatomy education. Based on these findings, we propose an AI-based anatomy education model utilizing real clinical cases. This model consists of a learning structure where instructors use AI to collect and select academic materials and clinical cases worldwide to create problems, and students derive answers using textbooks and references. Future development of specialized AI tools reflecting characteristics of Korean medicine along with establishment of systematic AI education programs are needed.

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