Evaluation by dental professionals of an artificial intelligence-based application to measure alveolar bone loss

Evaluation by dental professionals of an artificial intelligence-based application to measure alveolar bone loss

Abstract Background Several commercial programs incorporate artificial intelligence in diagnosis, but very few dental professionals have been surveyed regarding its acceptability and usability. Furthermore, few have explored how these advances might be incorporated into routine practice. Methods Our...

Full description

Saved in:
Bibliographic Details
Main Authors: Sang Won Lee, Kateryna Huz, Kayla Gorelick, Jackie Li, Thomas Bina, Satoko Matsumura, Noah Yin, Nicholas Zhang, Yvonne Naa Ardua Anang, Sanam Sachadava, Helena I. Servin-DeMarrais, Donald J. McMahon, Helen H. Lu, Michael T. Yin, Sunil Wadhwa
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Oral Health
Subjects:
Alveolar crestal height
Periodontal disease
Artificial intelligence
Deep learning
Acceptability
Dental professionals
Online Access:https://doi.org/10.1186/s12903-025-05677-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12903-025-05677-0

Similar Items