erdEducation Reform and Development2652-53642652-5372Bio-Byword Scientific Publishing Pty. Ltd.10.26689/erd.v7i8.11755ArticleDiscussion on the Transformation Mode of Clinical Diagnosis and Treatment Thinking in Medical Imaginghttps://artdesignp.com/journal/erd/7/8/10.26689/erd.v7i8.11755LiLulu,LiuPengfei,LiYangyang2025782025-09-04The low conversion rate of clinical diagnostic thinking in medical imaging is an important bottleneck in current medical education, manifested as a discontinuous connection from theory to practice for clinical medical students, specifically reflected in core issues such as the difficulty in image-pathology association, the lack of three-dimensional spatial positioning ability, and insufficient cognition of dynamic disease courses. This study breaks through the improvement ideas at the application level of traditional technologies, establishes a “three-dimensional ability matrix model”, explores how to solve the problem of low conversion rate of clinical medical students, enables students to complete the efficient transformation from theoretical courses to clinical diagnosis and treatment thinking, and achieves remarkable results in improving the quality of medical imaging education and cultivating clinical diagnostic thinking. It provides a new idea for the efficient transformation of clinical medical students’ thinking in future medical education.

Huang J, Qi Z, Lu J, et al., 2019, Application of T-PACS System Combined with MDT Model in Medical Imaging Diagnosis Teaching. Journal of Medical Imaging, 29(7): 1213–1216.

RSNA Education Committee, 2022, Core Competency Gap Analysis in Radiology Residency Programs: A Nationwide Cross-Sectional Survey. RSNA Annual Meeting, Chicago, IL, United States.

Smith J, Doe R, Lee K, 2021, Competency Gaps in Chest X-Ray Interpretation Among Medical Students. Radiology, 301(2): 398–406.

WHO, 2023, Global Standards for Digital Health Education. World Health Organization, Geneva: 45–48.

Zhang M, Su Z, Du X, et al., 2019, Application of Case Discussion-Based PBL Teaching Method Based on WeChat Platform in Medical Imaging Teaching. Chinese Medical Equipment, 16(10): 127–130.

Qin J, 2021, Research on Implementation Strategies of Smart Teaching Mode in Universities Under the Background of Educational Informatization. Journal of Qilu Normal University, 36(6): 29–34.

Zhang P, Feng C, 2024, Thoughts on the Application of Artificial Intelligence Technology in Medical Imaging Course Practical Teaching. Smart Health, 10(8): 1–4 + 8.

Hu F, Sun Z, Zhou J, 2024, Application and Evaluation of Artificial Intelligence Technology in Medical Imaging Teaching. Chinese Health Industry, 21(12): 152–155.