Construction and Implementation of the Digital Teaching System for Diagnostic Experiment Courses

随着新兴技术的快速发展，将人工智能与医学诊断学实验课程深度融合，是推进医学教育现代化的重要引擎，也是教学创新发展的必然选择。文章旨在阐述诊断学实验课程向数字化转型的探索。通过对诊断学实验课程教学现状进行详细分析，探讨智能技术如何赋能诊断学实验教学数字化改革，包括智能技术对教学内容、教学模式、教学资源等方面的建设。综合考察数字化改革在革新课程模式、提升课程质量、实现仿真模拟等方面的优势以提高诊断学实验教学质量。With the rapid development of emerging technologies, the deep integration of artificial intelligence with medical diagnostic experiment courses is an important engine for promoting the modernization of medical education and an inevitable choice for the innovative development of teaching. This paper aims to expound on the exploration of the digital transformation of diagnostic experiment courses. Through a detailed analysis of the current teaching situation of diagnostic experiment courses, it explores how intelligent technologies can empower the digital reform of diagnostic experiment teaching, including the construction of intelligent technologies in teaching content, teaching models, teaching resources, etc. Comprehensively examine the advantages of digital reform in aspects such as renovating the curriculum model, improving curriculum quality, and realizing simulation, so as to improve the teaching quality of diagnostic experiment courses.