Carbon footprint of private dental clinics in Egypt: a cross-sectional study.

Background: Climate change is a global challenge, caused by increasing greenhouse gas (GHG) emissions. Dental clinical practice contributes to these emissions through patient and staff travel, waste, energy and water consumption and procurement. Carbon footprinting quantifies GHG emissions.

Role and Prognostic Implications of Venous Outflow Assessment in Acute Ischemic Stroke.

Introduction: The venous outflow profile (VOP) is a crucial yet often overlooked aspect affecting stroke outcomes. It plays a major role in the physiopathology of acute cerebral ischemia, as it accounts for both the upstream arterial collaterals and cerebral microperfusion. This enables it to circumvent the limitations of various arterial collateral evaluation systems, which often fail to consider impaired autoregulation and its impact on cerebral blood flow at the microcirculatory levels.

Early childhood caries risk prediction using machine learning approaches in Bangladesh.

Background: In the last years, artificial intelligence (AI) has contributed to improving healthcare including dentistry. The objective of this study was to develop a machine learning (ML) model for early childhood caries (ECC) prediction by identifying crucial health behaviours within mother-child pairs.

Methods: For the analysis, we utilized a representative sample of 724 mothers with children under six years in Bangladesh.

Factors associated with the dental service utilization by enrollees on the Lagos State health insurance scheme, Nigeria.

Background: Despite assumptions that insurance coverage would boost oral healthcare utilization in Nigeria, there is insufficient evidence supporting this claim. This study investigates the associations between residential location, awareness of the oral health insurance scheme, history of dental service utilization, and acceptance of oral health insurance among individuals benefiting from the Ilera Eko Scheme; a scheme that integrates preventive and curative oral health care into the state health insurance scheme.

Methods: A cross-sectional survey was conducted from July to November 2023 recruiting from a database of 1520 enrollees aged of 18 and 72-years-old who had been on the scheme for at least three months.

Children's Acceptance of Intraoral Cameras and Smartphones for Caries Detection: A Randomized Controlled Clinical Trial.

Background: Teledentistry can improve access to care, but children's acceptance of different imaging techniques is underexplored.

Aim: The aim of this study was to assess children's acceptance of intraoral cameras and smartphones for caries detection.

Design: A randomized controlled trial was conducted in rural Egyptian nurseries, with children aged ≤ 6 years randomized into intraoral camera or smartphone groups.