| 金朝龙,盛哲,张定欣,等.人工智能辅助教学法在超声心动图带教中的应用[J].安徽医药,2026,30(9):1904-1908. |
| 人工智能辅助教学法在超声心动图带教中的应用 |
| Application of an artificial intelligence-assisted teaching method in echocardiography training |
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| DOI：10.3969/j.issn.1009-6469.2026.09.038 |
| 中文关键词: 教育，医学 超声心动描记术 人工智能 教学 规培 |
| 英文关键词: Education, medical Echocardiography Artificial intelligence Teaching Standardized training |
| 基金项目:安徽省卫生健康科研项目( AHWJ2024Aa20173)；安徽省高等学校省级质量工程项目( 2024jyxm0709) |
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| 中文摘要: |
| 目的探讨人工智能辅助教学法在超声心动图带教中的应用价值。方法前瞻性选取 2022年 1月至 2025年 3月于安徽医科大学第一附属医院规培的学生为研究对象，共 76人，采用简单随机化方法，按照 1∶1比例分配原则，分为观察组和对照组，各 38人。观察组采用人工智能辅助教学方法，对照组采用传统教学方法，对比分析两组学生规培后考核成绩、综合能力、教学效果、教学满意度等方面的差异。结果观察组理论成绩、实践成绩［( 92.57±3.48)分、(91.18±2.96)分］均高于对照组［(85.39±3.04)分、(88.62±2.45)分］(P<0.001)；两组切面识别能力评分比较差异无统计学意义( P=0.312)余观察组综合能力各指标得分均高于对照组( P<0.05)。观察组规培生教学满意度 94.74%(36/38)高于对照组 78.95%(30/38)(，P<0.05)。观察组教学效果各指标均高于对照组( P<0.05)。观察组规培后综合能力各指标分数均较规培前高( P<0.001)；对照组规培前、后空间构思能力比较，差异无统计学意义( P=0.082)，其余综合能力各指标均高于规培前( P<0.001)。结论人工智能辅助教学法在超声心动图带教中的应用具备一定效果，可以提高规培生对理论知识的掌握，提升实践操作技能水平、增强综合应用能力，提高创新思维能力，提升教学满意度。 |
| 英文摘要: |
| Objective To explore the application value of an artificial intelligence-assisted teaching method in echocardiography training.Methods This prospective study enrolled 76 residents undergoing standardized residency training at The First Affiliated Hos.pital of Anhui Medical University between January 2022 and March 2025. Using simple randomization and a 1:1 allocation ratio, theparticipants were divided into an observation group and a control group, with 38 in each. The observation group received the AI-assist. ed teaching method, while the control group received traditional teaching methods. The differences between the two groups in assess. ment scores, comprehensive abilities, teaching effectiveness, and teaching satisfaction after standardized training were compared.Re. sults The theoretical and practical scores of the observation group [(92.57±3.48) points, (91.18±2.96) points] were higher than thoseof the control group [(85.39±3.04) points, (88.62±2.45) points] (P<0.001); There was no statistically significant difference in cross-sec. tional image recognition ability between the two groups (P=0.312), whereas the scores for all other indicators of comprehensive abilityin the observation group were higher than those in the control group (P<0.05). The teaching satisfaction rate of the resident trainees inthe observation group was 94.74% (36/38), which was significantly higher than that in the control group [78.95% (30/38)] (P<0.05). All indicators of teaching effectiveness in the observation group were significantly higher than those in the control group (P<0.05). All com. prehensive ability scores in the observation group improved significantly after training compared with before training (P<0.001). In the control group, there was no statistically significant difference in spatial conception ability before and after training (P=0.082), but all other indicators of comprehensive ability improved significantly after training (P<0.001).Conclusions The application of an artificial intelligence-assisted teaching method in echocardiography training demonstrates certain effectiveness. It can improve trainees' masteryof theoretical knowledge, enhance practical skills, strengthen comprehensive application ability, foster innovative thinking, and in.crease the teaching satisfaction. |
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