A Robust Monotonic Single-Index Model for Skewed and Heavy-Tailed Data: A Deep Neural Network Approach Applied to Periodontal Studies [PDF]
Periodontal pocket depth is a widely used biomarker for diagnosing risk of periodontal disease. However, pocket depth typically exhibits skewness and heavy-tailedness, and its relationship with clinical risk factors is often nonlinear. Motivated by periodontal studies, this paper develops a robust single-index modal regression framework for analyzing ...
arxiv
Bacteriology of moderate (chronic) periodontitis in mature adult humans [PDF]
William Moore+5 more
openalex +1 more source
Humoral immune response to oral microorganisms in periodontitis [PDF]
S L Doty+3 more
openalex +1 more source
Objectives: To evaluate the role of periodontitis in viridans group streptococci (VGS) bacteremia and infective endocarditis (IE). Methods: A total of 200 subjects including two groups. Group A- 34 subjects undergoing tooth extraction with periodontitis,
Shree Dhotre+5 more
doaj
Differences between gingivitis and periodontitis associated microbial flora in the beagle dog [PDF]
G. K. S vanberg, S. A. Syed, Barry Scott
openalex +1 more source
Periodontal Bone Loss Analysis via Keypoint Detection With Heuristic Post-Processing [PDF]
Calculating percentage bone loss is a critical test for periodontal disease staging but is sometimes imprecise and time consuming when manually calculated. This study evaluates the application of a deep learning keypoint and object detection model, YOLOv8-pose, for the automatic identification of localised periodontal bone loss landmarks, conditions ...
arxiv
The Distribution of Hydrolytic Enzymes Among Gram-negative Bacteria Associated with Periodontitis [PDF]
S. V. Seddon, Haroun N. Shah
openalex +1 more source
This study aimed to identify the prevalence and association of periodontitis and pulp stone (PS) along with the clinical variables. This study assessed the cone-beam computed tomography (CBCT) records to identify the presence of PS and clinical ...
Abdullah Saad Alqahtani
doaj +1 more source
Quantitative Ultrasound for Periodontal Soft Tissue Characterization [PDF]
Periodontal diseases affect 45.9\% of adults aged 30 or older in the United States. Current diagnostic methods for clinical assessment of these diseases are visual examination and bleeding on probing that are subjective, qualitative, and/or invasive.
arxiv
Correlation of periodontal pathogens in concurrent endodontic-periodontal diseases [PDF]
Objectives: This study investigated the correlation between Tannerella forsythia, Porphyromonas gingivalis, Fusobacterium nucleatum, and Aggregatibacter actinomycetemcomitans at dual sites in concurrent endodonticperiodontal diseases.
Bajrović, Kasim+5 more
core +1 more source