In-House Training De-identified OPG Data for Developing and Evaluating Multimodal Large Language Model for Orthopantomography Analysis to Support Clinical Dentistry

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Authors: LIU Xinyu
Cited by: 0

Abstract

Private De-identified dental radiographic images. This dataset contains anonymized OPGs with all personally identifiable information (PII) removed, including patient names, dates of birth, and institutional markings. DATA ACCESS POLICY: On reasonable requests, de-identified data used in this study will be made available for academic purpose by The University of Hong Kong/Hospital Authority Hong Kong West Cluster, subject to approval by the local institutional review board. METADATA ONLY - Access to the actual image files requires permission from the data owner. For access requests, please contact the author.

Fields of Study & Subjects

Dental Radiography and Imaging Artificial Intelligence in Healthcare and Education Multimodal Machine Learning Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026
Document type
Dataset