Results 71 to 80 of about 1,171,659 (392)

A review of dental informatics : current trends and future directions [PDF]

open access: yesDental Research: An International Journal (DRIJ) Vol.5, No 1 2023, 2023
Dental informatics is a rapidly evolving field that combines dentistry with information technology to improve oral health care delivery, research, and education. Electronic health records (EHRs), telehealth, digital imaging, and other digital tools have revolutionised how dental professionals diagnose, treat, and manage oral health conditions.
arxiv  

10-year follow-up study on attendance pattern after dental treatment in primary oral health care clinic for fearful patients

open access: yesBMC Oral Health, 2021
Background Dental fear may lead to avoidance of regular dental treatment. The scope of this long-term practe-based study was to monitor the dental attendance of patients who received chair-side dental and fear treatment. Methods In 2000–2006, patients in
Taina Kankaala   +6 more
doaj   +1 more source

Self-Supervised Learning with Masked Image Modeling for Teeth Numbering, Detection of Dental Restorations, and Instance Segmentation in Dental Panoramic Radiographs [PDF]

open access: yesarXiv, 2022
The computer-assisted radiologic informative report is currently emerging in dental practice to facilitate dental care and reduce time consumption in manual panoramic radiographic interpretation. However, the amount of dental radiographs for training is very limited, particularly from the point of view of deep learning.
arxiv  

Impact of edaphoclimatic conditions and crop season on olive oil's fatty acids

open access: yesAgronomy Journal, Volume 114, Issue 6, Page 3118-3128, November/December 2022., 2022
Abstract The olive tree (Olea europaea L.) fruit oil attracts widespread interest because of its high content of monounsaturated fatty acids. However, a neglected area in the field is the edaphoclimatic factors impact, which is poorly understood. Bearing this in mind, the purpose of this investigation was to evaluate the impact of the edaphoclimatic ...
Touria Lechhab   +5 more
wiley   +1 more source

Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentation [PDF]

open access: yesarXiv, 2022
Segmenting dental plaque from images of medical reagent staining provides valuable information for diagnosis and the determination of follow-up treatment plan. However, accurate dental plaque segmentation is a challenging task that requires identifying teeth and dental plaque subjected to semantic-blur regions (i.e., confused boundaries in border ...
arxiv  

Dental fear and anxiety, dental rehabilitation of an anxious patient, long-term follow-up

open access: yesFogorvosi Szemle, 2023
Introduction: Anxiety related to dental treatments is a phenomenon known to all dentists. Recognizing and alleviating this emotional response is the dentists’ duty.
Judit Oszlánszky   +4 more
doaj   +1 more source

Generative Adversarial Networks for Dental Patient Identity Protection in Orthodontic Educational Imaging [PDF]

open access: yesarXiv, 2023
Objectives: This research introduces a novel area-preserving Generative Adversarial Networks (GAN) inversion technique for effectively de-identifying dental patient images. This innovative method addresses privacy concerns while preserving key dental features, thereby generating valuable resources for dental education and research.
arxiv  

Comparison of Fear of Dentistry between Children with Molar-Incisor Hypomineralization and Children with Permanent First Molars without Hypoplasia

open access: yesJournal of Kerman University of Medical Sciences, 2022
Background: Molar incisor hypomineralization (MIH) is a developmental enamel defect of the incisor and molars that can lead to fear of dentistry in children. This study aimed to compare the dental fear of children aged 8 to 12 years with MIH and children
Fatemeh Sadat Sajadi   +1 more
doaj   +1 more source

DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation [PDF]

open access: yesarXiv, 2022
Automatic tooth instance segmentation on 3D dental models is a fundamental task for computer-aided orthodontic treatments. Existing learning-based methods rely heavily on expensive point-wise annotations. To alleviate this problem, we are the first to explore a low-cost annotation way for 3D tooth instance segmentation, i.e., labeling all tooth ...
arxiv  

Self-Reported Dental Fear among Dental Students and Their Patients [PDF]

open access: yes, 2011
The aim of the present study was to compare self-reported dental fear among dental students and patients at a School of Dentistry in Belo Horizonte, Brazil.
Ferreira, Efigenia   +5 more
core   +3 more sources

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