1,2Faculty of Dentistry, Lincoln University College, Malaysia
The integration of multimodal data fusion (MDF) technology in orthodontics has revolutionized clinical diagnostics, treatment planning, and patient communication. By synthesizing data from cone-beam computed tomography (CBCT), intraoral scans, facial scans, and occlusal motion tracking, MDF facilitates the creation of dynamic virtual patients and intelligent diagnostic systems. This paper reviews the theoretical foundation of multimodal data fusion, explores its clinical applications in orthodontics, and analyzes the research progress achieved over the last five years. Additionally, the paper identifies current challenges, such as algorithm complexity, data standardization, and clinical adaptability, and suggests future directions for technological innovation and clinical expansion. The study underscores MDF's transformative potential in enabling personalized, accurate, and efficient orthodontic care.
Keywords: Multimodal Data Fusion, Orthodontic Diagnosis, Virtual Patient Modeling, Cone-Beam Computed Tomography (CBCT).
How to cite this article: ZiQiong W, Al-Maqtari RAA. Transforming Orthodontics With Multimodal Data Fusion: From Virtual Patients To Intelligent Diagnosis. Int J Drug Deliv Technol. 2026;16(15s): 803-809. DOI: 10.25258/ijddt.16.15s.90
Source of support: Nil.
Conflict of interest: None