人工智能驱动的皮肤病理学教学创新研究^*

AI-driven innovation in dermatopathology education

摘要

目的 探索人工智能(AI)驱动皮肤病理学教学创新研究的应用效果。方法 基于2021年1月—2024年12月吉林大学第一医院皮肤科住院医师规范化培训医师及基层医联体医生59份调查问卷结果,融合AI技术,改革传统皮肤病理教学模式。以老年皮肤肿瘤为教学内容,选取皮肤科住院医师规范化培训医师及基层进修医生20名为研究对象,通过问卷调查及教学考核,对比传统教学与AI融合教学模式的教学效果。结果 与传统教学比较,AI融合教学模式可提高随堂测试正确率(97% vs 90%)、阶段性测试通过率(100% vs 85%)、阅片准确率(85% vs 65%)及病理操作技能通过率(95% vs 90%)。95%的学员认为该模式有助于加深对疾病认知,提高学习兴趣和临床-病理思维能力。结论 AI融合皮肤病理学教学可提升教学效果和诊断能力,促进临床思维形成,具有良好的应用价值。

Abstract

Objective To explore the application effect of an artificial intelligence (AI)- driven innovative teaching model in dermatopathology. Methods Based on the results of 59 questionnaires collected from standardized dermatology residents and primary medical consortium physicians at the Department of Dermatology, the First Hospital of Jilin University from January 2021 to December 2024, the traditional dermatopathology teaching model was reformed by integrating AI technology. Taking geriatric skin tumors as the teaching content, 20 standardized dermatology residents and primary-level visiting physicians were enrolled. The teaching effects of traditional and AI-integrated models were compared using questionnaires and teaching assessments. Results Compared with the traditional teaching model, the AI-integrated model improved the accuracy of in-class tests (97% vs 90%), the pass rate of stage assessments (100% vs 85%), slide interpretation accuracy (85% vs 65%), and the pass rate of pathological procedure skills (95% vs 90%). In addition, 95% of participants reported that the AI-integrated model enhanced disease understanding, learning interest, and clinicopathological thinking ability. Conclusion AI-integrated dermatopathology teaching can improve teaching effectiveness and diagnostic accuracy, promote the development of clinical thinking, and demonstrate good application value.

关键词

人工智能 / 皮肤病理学 / 教学 / 皮肤肿瘤

Key words

Artificial intelligence / Dermatopathology / Teaching / Cutaneous tumor