Results 51 to 60 of about 75,998 (173)
Deep learning for early dental caries detection in bitewing radiographs
The early detection of initial dental caries enables preventive treatment, and bitewing radiography is a good diagnostic tool for posterior initial caries.
Shinae Lee +5 more
doaj +1 more source
ABSTRACT Aim To compare the clinical and radiographic outcomes of partial pulpotomy performed with mineral trioxide aggregate (White MTA Angelus) or a premixed calcium silicate‐based putty cement (NeoPutty) in mature mandibular molars with deep carious lesions and to explore factors associated with treatment outcome.
Alberto Serrano +7 more
wiley +1 more source
Objective Early caries detection is crucial for preventing and controlling the spread of dental caries. Conventional detection techniques (visual and radiographic) rely on subjective judgment and are prone to misinterpretation, which may lead to ...
Ololade Abosede Akinyemi +2 more
doaj +1 more source
ABSTRACT Aim To develop consensus‐based recommendations for general dental practitioners on deep and extremely deep carious lesions (CLs) and vital pulp treatment (VPT) in mature and immature permanent teeth. Methodology A national modified Delphi study was conducted with a purposively selected expert panel.
Olivia Kérourédan +4 more
wiley +1 more source
Background The purpose of this study was to evaluate the validity of near-infrared light reflection for detecting different depths of proximal caries in posterior teeth and to compare it with commonly used clinical oral examinations and bitewing ...
Liheng Shen +8 more
doaj +1 more source
Introduction: Detecting proximal caries in primary teeth is challenging. While intraoral bitewing radiography (IOBW) is the standard for proximal caries assessment, it faces limitations in pediatric patients.
Piyanuch Tunthasen +6 more
doaj +1 more source
Differential Diagnosis Performance of ChatGPT in Oral and Maxillofacial Pathology
ABSTRACT Objective To evaluate ChatGPT (GPT‐5.1) for ranked differential diagnoses in oral and maxillofacial pathology, assess image effects on diagnostic performance and examine output stability across repeated runs. Methods This retrospective diagnostic accuracy study included 160 biopsy‐confirmed cases.
Sohaib Shujaat +6 more
wiley +1 more source
Bitewing Radiography Semantic Segmentation Base on Conditional Generative Adversarial Nets
12pages, in ...
Yun Jiang +3 more
openaire +3 more sources
Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali +2 more
wiley +1 more source
OBJECTIVES: To evaluate image quality for marginal bone tissue assessment on panoramic radiographs taken with the Scanora dental programme and on posterior bitewing radiographs. METHODS: Panoramic and bitewing radiographs were taken of 96 patients.
Ivanauskaité, Deimante +2 more
core +1 more source

