Quantitative evaluation of an artificial intelligence–driven remote monitoring system for occlusion assessment using patient-captured images
ABSTRACT Objectives To evaluate the accuracy of an artificial intelligence (AI) model developed by DentalMonitoring for assessing occlusal parameters from patient-acquired intraoral images, using intraoral scanner (IOS)–derived three-dimensional (3D)measurements as the reference standard. Materials and Methods This multicenter prospective study...
Improving interventions for oral frailty in older adults: a qualitative study of barriers and pathways from the perspective of oral healthcare professionals
Title (English) Improving interventions for oral frailty in older adults: a qualitative study of barriers and pathways from...
Clinical feasibility of high-flow nasal oxygenation during dental procedures in pediatric patients under intravenous deep sedation: initial experience
Title (English) Clinical feasibility of high-flow nasal oxygenation during dental procedures in pediatric patients under intravenous deep sedation:...
BLIS M18 probiotic cleanser: effects on color and surface properties of conventional, milled, and 3D-printed PMMA
Title (English) BLIS M18 probiotic cleanser: effects on color and surface properties of conventional, milled, and 3D-printed PMMA...
Pain levels and histological severity in a rat model of chemically-induced temporomandibular joint osteoarthritis
Title (English) Pain levels and histological severity in a rat model of chemically-induced temporomandibular joint osteoarthritis Thong tin...