This paper is in the following e-collection/theme issue:

AI in Older Adult Care (40) Dementia and Cognitive Decline (696) Imaging Informatics (302) Medical imaging (110) Geriatrics (51) Artificial Intelligence (2127)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63686, first published .
Using Deep Learning to Perform Automatic Quantitative Measurement of Masseter and Tongue Muscles in Persons With Dementia: Cross-Sectional Study

Using Deep Learning to Perform Automatic Quantitative Measurement of Masseter and Tongue Muscles in Persons With Dementia: Cross-Sectional Study

Using Deep Learning to Perform Automatic Quantitative Measurement of Masseter and Tongue Muscles in Persons With Dementia: Cross-Sectional Study

Authors of this article:

Mahdi Imani1 Author Orcid Image ;   Miguel G Borda2, 3 Author Orcid Image ;   Sara Vogrin1 Author Orcid Image ;   Erik Meijering4 Author Orcid Image ;   Dag Aarsland2, 5 Author Orcid Image ;   Gustavo Duque6 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Yang L, Zhu Z, Li Y, Huang J, Wang X, Zheng H, Chen J. Clinical-oriented 3D visualization and quantitative analysis of gingival thickness using convolutional neural networks and CBCT. Frontiers in Dental Medicine 2025;6 View