Learning ophthalmic anatomy with AI-generated visual resource: the moderating role of educational background - Scorecard - MDSpire

Learning ophthalmic anatomy with AI-generated visual resource: the moderating role of educational background

  • By

  • Yifan Luo

  • Taowei Ge

  • Xianglin Luo

  • Zhongjing Lin

  • Min Li

  • Bilian Ke

  • July 15, 2026

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Clinical Scorecard: Utilizing AI-Generated Visual Aids for Ophthalmic Anatomy Education: The Impact of Learner Background on Outcomes

At a Glance

CategoryDetail
ConditionOphthalmic Anatomy Education
Key MechanismsAI-assisted comparative exercise versus conventional anatomical labeling
Target PopulationSophomore students from medical and non-medical backgrounds
Care SettingEducational institutions

Key Highlights

  • No significant difference in knowledge acquisition between AI-assisted and conventional methods (p > 0.05)
  • Higher satisfaction and self-assessed performance in non-medical students using AI-assisted methods
  • AI-generated anatomical variants can serve as a structured adjunct for novice learning
  • Cognitive workload did not differ significantly between groups
  • Declining teaching hours in ophthalmology necessitate innovative educational tools

Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

        Risks

          Patient & Prescribing Data

          Clinical Best Practices

          • Incorporate AI-generated images in comparative learning exercises for anatomy education
          • Consider learner background when designing instructional materials

          Related Resources & Content

            Original Source(s)

            Learning ophthalmic anatomy with AI-generated visual resource: the moderating role of educational background

            • by Yifan Luo, Taowei Ge, Xianglin Luo, Zhongjing Lin, Min Li, Bilian Ke

            • July 15, 2026

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