人工智能赋能助力医学遗传学教学改革的实践

——以人类遗传性状分析为例

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关键词：医学遗传学；遗传性状分析；人工智能；教学改革；多源数据整合DOI： 10.3969/j . issn.1674-490X.2025.04.008

中图分类号：G64 文献标志码：A 文章编号：1674-490X（2025）04-0065-10

Abstract： In traditional medical genetics education，the genetic trait analysis component encounters several challenges.These include inefficient data collection and processing，limitations in pattern recognition and correlation analysis，and technical hurdles in integrating multi-source data. These issues severely impede teaching effectiveness and diminish students’ learning experiences. With the rapid advancement of artificial inteligence （AI） technologies， deep learning， natural language processing， and computer vision have emerged as revolutionary tools for genetic trait analysis.This study developed a three-in-one AI-assisted teaching system encompassing“data acquisition，inteligent analysis，classroom application”.Empirical research involving clinical students and their relatives validated the substantial advantages of AI technology in genetic trait analysis instruction.Teaching practice demonstrated that AI-assisted teaching significantly boosted students' learning motivation，knowledge acquisition，and research proficiency. Students provided overwhelmingly positive feedback，noting that AI technology streamlined genetic trait analysis，enabling them to beter comprehend the intricate mechanisms underlying genetic correlations. Moreover，AI-assisted teaching has spurred educational innovation，including technological breakthroughs，novel teaching models，and enhanced teaching value. This approach offers fresh perspectives and methodologies for the reform of medical genetics education.

Key words：medical genetics；genetic trait analysis；artificial inteligence； teaching reform；multisource data integration

医学遗传学作为医学教育体系中的关键学科，肩负着揭示人类遗传性疾病发病机制、传递规律以及为临床诊断、预防和治疗提供遗传学依据的重任。（剩余8108字）