数智赋能视域下医学影像学智能化教学模式的探索与实践

    Exploration and practice of intelligent teaching mode of medical imaging from the perspective of digital intelligence empowerment

    • 摘要:
      目的: 探索数智赋能视域下医学影像学智能化教学模式的应用效果,为新医科背景下医学影像人才培养提供实践参考。
      方法: 随机选取蚌埠医科大学医学影像学专业2024级50名本科生作为观察组,采用数智赋能的智能化教学模式;选取同专业2023级50名本科生作为对照组,采用传统教学模式。通过自制调查问卷评价学生对教学模式的认可度,采用统一考核测评2组学生专业理论成绩、病灶特征识别准确率及 AI 辅助诊断工具使用熟练度。
      结果: 观察组 90% 以上学生认为智能化教学有助于提升影像诊断能力、掌握 AI 工具应用技能及培养临床思维;观察组《医学影像诊断学》理论成绩、病灶特征识别准确率、AI 辅助诊断工具使用熟练度,均高于对照组(P < 0.01)。
      结论: 数智赋能视域下的医学影像学智能化教学模式能有效破解传统教学痛点,提升学生专业能力与数智技术应用能力,适配“AI + 医疗”时代复合型医学影像人才培养需求。

       

      Abstract:
      Objective To explore the application effect of the intelligent teaching mode of medical imaging from the perspective of digital intelligence empowerment, and provide practical references for the cultivation of medical imaging talents in the context of new medicine.
      Methods Fifty undergraduate students majoring in medical imaging of the 2024 grade from Bengbu Medical University were randomly selected as the observation group, and an intelligent teaching mode empowered by digital intelligence was adopted. Fifty undergraduate students of the 2023 grade in the same major were selected as the control group, and the traditional teaching mode was adopted. The students' recognition of the teaching mode was evaluated through a self-made questionnaire. The professional theoretical scores, accuracy rate of lesion feature recognition and proficiency in using AI-assisted diagnostic tools in two groups were evaluated by unified assessment.
      Results Over 90% of the students in the observation group believed that the intelligent teaching was conducive to improving the ability of image diagnosis, mastering the application skills of AI tools and cultivating clinical thinking. The theoretical score of "medical imaging diagnosis" in the observation group, the accuracy rate of lesion feature recognition, and the proficiency in using AI-assisted diagnostic tools were higher than those in the control group, and the differences were statistically significant (P < 0.01).
      Conclusions The intelligent teaching mode of medical imaging from the perspective of digital intelligence empowerment can effectively address the pain points of traditional teaching, enhance students' professional abilities and digital intelligence technology application capabilities, and meet the demand for cultivating compound medical imaging talents in the "AI + medicine" era.

       

    /

    返回文章
    返回