AI-Powered Identification of Osteoporosis in Dental Panoramic Radiographs: Addressing Methodological Flaws in Current Research

AI-Powered Identification of Osteoporosis in Dental Panoramic Radiographs: Addressing Methodological Flaws in Current Research

<b>Background:</b> Osteoporosis, a systemic skeletal disorder, is expected to affect 60% of women over 50. While dual-energy X-ray absorptiometry (DXA) scans are the current gold standard for diagnosis, they are typically used only after fractures occur, highlighting the need for early d...

Full description

Saved in:
Bibliographic Details
Main Authors: Robert Gaudin, Shankeeth Vinayahalingam, Niels van Nistelrooij, Iman Ghanad, Wolfus Otto, Stephan Kewenig, Carsten Rendenbach, Vasilios Alevizakos, Pascal Grün, Florian Kofler, Max Heiland, Constantin von See
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Diagnostics
Subjects:
osteoporosis detection
panoramic radiographs
AI application
deep learning
EfficientNet classification
Online Access:https://www.mdpi.com/2075-4418/14/20/2298
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2075-4418/14/20/2298

Similar Items