Implementation of artificial intelligence in the 2025 medical parasitology course at Hallym University

As artificial intelligence (AI) continues to develop, academics are increasingly integrating AI into education to increase efficiency and promote personalized learning [1].ChatGPT (https:// chatgpt.com/)has demonstrated substantial potential to transform medical education [2].As the role of AI in medicine expands, medical education must likewise evolve to prepare future physicians to adapt to societal and technological changes [3].This correspondence describes my experience as a third-year medical student participating in an AI-Implemented Medical Parasitology (AIMP) course from October 27 to December 15, 2025, at Hallym University in South Korea. AI-Implemented Medical Parasitology course curriculumThe AIMP course curriculum differed markedly from that of conventional medical school courses (Fig. 1, Supplement 1).Its most distinctive feature was the emphasis on introducing students to emerging AI technologies and encouraging their use to foster independent learning in parasitology.The course adopted a flipped-learning approach and was uniquely structured, with professors largely entrusting students to acquire new course material through group discussions and presentations.In many sessions, only minimal prompts were provided, and students were encouraged to collaboratively discuss, research, and present prompt-related information to the class.Each week focused on a different parasitology topic, followed by laboratory experiments ranging from microscopic observations to parasite extraction from provided materials.In addition, a dedicated AI technology component was taught weekly to introduce new AI tools and reinforce foundational knowledge in both AI and parasitology.Although this approach was initially unfamiliar and challenging, the integration of wet-lab practical work with AI-based analyses promoted active learning and critical thinking.Compared with passive lecture-based note-taking or purely wet-lab practicals in traditional courses, the inclusion of AI motivated deeper engagement with the course content and encouraged a more multifaceted approach to parasitology.