Exploration of the Application Model of Artificial Intelligence in Clinical Teaching of Invasive Fungal Infections
Abstract：Objective Artificial intelligence (AI) technology has become increasingly mature in various fields and is gradually being applied in medical education. This study adopts 'artificial intelligence' for teaching practice and innovation, aiming to explore its application model and effectiveness in the medical education of invasive fungal infections. Methods Taking invasive fungal infections as an example, this study relies on AI technology, combines literature review and teaching practice, and integrates various teaching methods such as situational education, case-based learning, and video teaching for teaching design and analysis. Results The application of AI in scenario simulation training for invasive fungal infections, intelligent diagnostic support, personalized learning, and assessment feedback shows significant advantages. Conclusion Through the practice of integrating AI with multiple teaching methods, we discuss teaching approaches, promote teaching reflection, and comprehensively enhance the 'teaching and learning' capabilities of teachers and students in the field of invasive fungal infections.
Keywords：Artificial IntelligenceInvasive Fungal InfectionsEmergency MedicineSimulation TrainingIntelligent DiagnosisPersonalized Learning
Publication Date：2025-02-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 82-84 )