Author: Ning Wen, Zheyu Zhang 👨🔬
Affiliation: Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai Jiaotong University 🌍
Purpose: The graduate course, “Principles of Medical Imaging,” aims to advance imaging technology by integrating artificial intelligence (AI) into medical imaging. It bridges interdisciplinary fields, preparing students to innovate in healthcare through a deep understanding of foundational theories, applied technologies, and industrial/clinical needs, while fostering collaboration between academia, industry, and hospitals.
Methods: The course employs an innovative, interdisciplinary approach with three key components:
1. AI-Driven Learning: Deep learning and large language models are integrated to enhance medical imaging, connecting theory, technology, and real-world applications.
2. Collaborative Teaching Model: Eleven instructors from academia, industry, and hospitals teach topics such as imaging principles, MRI, nuclear medicine, and AI applications, ensuring a holistic learning experience.
3. Balanced Theoretical and Practical Learning: A 2:1 ratio of theoretical to practical teaching is adopted, including in-class group work, take-home assignments, hands-on experience in imaging labs (CT and MRI), clinical and industry rotations, and a semester-long project guided by academia and industry instructors.
Results: Students gain a comprehensive understanding of medical imaging and its applications. Through theoretical foundations, practical training, and real-world exposure, they develop AI methods to address industrial and clinical challenges. Performance is assessed via assignments, a midterm quiz, a final exam, and the semester project, fostering innovation and collaboration.
Conclusion: “Principles of Medical Imaging” is a transformative initiative that equips students to drive healthcare innovation. By integrating AI, fostering interdisciplinary collaboration, and balancing theory with practice, the course establishes long-term academia-industry partnerships, advancing medical imaging technology and its applications in modern healthcare.