Results 61 to 70 of about 1,291,057 (380)
SRM Journal of Research in Dental Sciences, 2016 Background: Dental anxiety is often reported as a cause of irregular attendance, delay in seeking dental care, or even avoidance of seeking dental care, resulting in a poor oral health-related quality of life. Aim: To assess the dental anxiety levels and
Shailee Fotedar +2 more
doaj +1 more source
A review of dental informatics : current trends and future directions [PDF]
Dental 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
ANXIETY IN THE CHILD DENTAL CLINIC
Journal of Child Psychology and Psychiatry, 1985 Abstract— A study was made of differences between children who had a history of refusing dental treatment in the community and control children, as rated by their parents. History of treatment refusal was found to be associated with a general fear of‘medical’people, intolerance for any pain or discomfort and greater difficulty in approaching novelty or
Williams, J +4 more
openaire +3 more sources
Indian Journal of Dental Research, 2020 Aim: To assess the association between Individual deprivation measure with dental anxiety and socioeconomic status among patients visiting dentists in Chennai city, Tamil Nadu.
R Sindhu +5 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]
arXiv, 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
Feeling Anxious? Perceiving Anxiety in Tweets using Machine Learning [PDF]
Computers in Human Behavior, 98, 2019, 245-255, 2019 This study provides a predictive measurement tool to examine perceived anxiety from a longitudinal perspective, using a non-intrusive machine learning approach to scale human rating of anxiety in microblogs. Results suggest that our chosen machine learning approach depicts perceived user state-anxiety fluctuations over time, as well as mean trait ...
arxiv +1 more source
Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentation [PDF]
arXiv, 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
Generative Adversarial Networks for Dental Patient Identity Protection in Orthodontic Educational Imaging [PDF]
arXiv, 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
BMC Oral Health, 2020 Dental anxiety is a condition associated with avoidance of dental treatment and increased medical and surgical risks. This systematic review aims to summarize available evidence on conscious sedation techniques used for the management of Dental anxiety ...
Matteo Melini +4 more
semanticscholar +1 more source
JGH Open, Volume 6, Issue 12, Page 876-885, December 2022., 2022 Depression might be associated with increased disease activity in patients with ulcerative colitis (UC), which could lead to a poor clinical course. It might be better to consider referring patients with UC who have depressive symptoms to a psychiatrist to improve their clinical course.
Hideaki Oyama +11 more
wiley +1 more source