Advanced AI-driven detection of interproximal caries in bitewing radiographs using YOLOv8
Abstract Dental caries is a very common chronic disease that may lead to pain, infection, and tooth loss if its diagnosis at an early stage remains undetected. Traditional methods of tactile-visual examination and bitewing radiography, are subject to intrinsic variability due to factors such as exam...
Saved in:
Main Authors: | Mahsa Bayati, Berhrouz Alizadeh Savareh, Hojjat Ahmadinejad, Farzaneh Mosavat |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-84737-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Near-infrared light reflection for the early detection of proximal caries in posterior teeth: an in vivo study
by: Liheng Shen, et al.
Published: (2025-01-01) -
Auxiliary techniques for the diagnosis of incipient interproximal caries, in deciduous molars of children from 4 to 10 years old
by: Jessica Pardo Salas, et al.
Published: (2019-08-01) -
Radiographic Evaluation of the Lower First Permanent Molars of Children from Southeastern Brazil
by: Luciana Arruda Mendes de Paula, et al.
Published: (2025-02-01) -
Precision Medicine Assessment of the Radiographic Defect Angle of the Intrabony Defect in Periodontal Lesions by Deep Learning of Bitewing Radiographs
by: Patricia Angela R. Abu, et al.
Published: (2025-01-01) -
Determining the Ability of Senior Dental Students to Detect Interproximal Caries Using Different Radiographic Techniques
by: Muzan Abdalla, et al.
Published: (2024-01-01)