A Multimodal Deep Learning Approach to Predicting Systemic Diseases from Oral Conditions

A Multimodal Deep Learning Approach to Predicting Systemic Diseases from Oral Conditions

<b>Background:</b> It is known that oral diseases such as periodontal (gum) disease are closely linked to various systemic diseases and disorders. Deep learning advances have the potential to make major contributions to healthcare, particularly in the domains that rely on medical imaging...

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Bibliographic Details
Main Authors: Dan Zhao, Morteza Homayounfar, Zhe Zhen, Mei-Zhen Wu, Shuk Yin Yu, Kai-Hang Yiu, Varut Vardhanabhuti, George Pelekos, Lijian Jin, Mohamad Koohi-Moghadam
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Diagnostics
Subjects:
periodontal disease
systemic comorbidity
multimodal deep learning
panoramic radiograph
electronic health records
Online Access:https://www.mdpi.com/2075-4418/12/12/3192

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