Determination of the stage and grade of periodontitis according to the current classification of periodontal and peri-implant diseases and conditions (2018) using machine learning algorithms.

Purpose: The current Classification of Periodontal and Peri-Implant Diseases and Conditions, published and disseminated in 2018, involves some difficulties and causes diagnostic conflicts due to its criteria, especially for inexperienced clinicians. The aim of this study was to design a decision system based on machine learning algorithms by using clinical measurements and radiographic images in order to determine and facilitate the staging and grading of periodontitis.

Methods: In the first part of this study, machine learning models were created using the Python programming language based on clinical data from 144 individuals who presented to the Department of Periodontology, Faculty of Dentistry, Süleyman Demirel University.

Evaluation of RANK, RANKL and OPG Levels in Gingival Crevicular Fluid After Surgically Assisted Rapid Maxillary Expansion.

Objectives: Maxillary transverse deficiency is one of the most common skeletal problems. Patients who have completed skeletal maturity, maxillary transverse deficiency can be treated with surgically assisted rapid maxillary expansion. Orthodontic forces affect the cells in the periodontium to form biologically active substances responsible for remodeling.

Neonatal Problems and Infancy Growth of Term SGA Infants: Does "SGA" Definition Need to Be Re-evaluated?

The exact definition of small-for-gestational-age (SGA) infant is still controversial among clinicians. In this study, we aimed to understand which definition is better in terms of establishing both early postnatal problems and growth. In this way, we compared early neonatal problems and infancy growth of term infants with birth weight (BW) < -2 SDS and with BW between 10th percentile (-1.

Early Postnatal Metabolic Profile in Neonates With Different Birth Weight Status: A Pilot Study.

Restricted or enhanced intrauterine growth is associated with elevated risks of early and late metabolic problems in humans. Metabolomics based on amino acid and carnitine/acylcarnitine profile may have a role in fetal and early postnatal energy metabolism. In this study, the relationship between intrauterine growth status and early metabolomics profile was evaluated.