Image diagnosis models for the oral assessment of older people using convolutional neural networks: A retrospective observational study.

ABSTRACT:

Aims

The purpose of this study was to construct a model for oral assessment using deep learning image recognition technology and to verify its accuracy.

Background

The effects of oral care on older people are significant, and the Oral Assessment Guide has been used internationally as an effective oral assessment tool in clinical practice. However, additional training, education, development of user manuals and continuous support from a dental hygienist are needed to improve the inter-rater reliability of the Oral Assessment Guide.

Design

A retrospective observational study.

Methods

A total of 3,201 oral images of 114 older people aged >65 years were collected from five dental-related facilities. These images were divided into six categories (lips, tongue, saliv

SUBMITTER: Muramatsu M 

PROVIDER: S-EPMC9787883 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature