Non-invasive periodontal screening using self-reported-oral-health (SROH) questionnaire and salivary biomarkers: development and validation of machine learning models
Title (English) Non-invasive periodontal screening using self-reported-oral-health (SROH) questionnaire and salivary biomarkers: development and validation of machine learning...
Efficacy of Er:YAG laser in removal of impacted mandibular third molars (a randomized controlled clinical trial)
Abstract Background Removal of impacted mandibular third molars is associated with postoperative discomfort and delayed bone healing. Er:YAG laser osteotomy has been proposed as a minimally invasive alternative to conventional rotary instrumentation. Aim To compare Er:YAG laser osteotomy and conventional...
Sella turcica dimensions and bridging in relation to vertical growth patterns: a CBCT study
Title (English) Sella turcica dimensions and bridging in relation to vertical growth patterns: a CBCT study Thong tin...
Artificial intelligence for predicting the pubertal growth spurt using cephalometric and hand–wrist radiographs: a systematic review and meta-analysis
Abstract Introduction The optimal timing of dentofacial orthopedic and growth-modifying orthodontic interventions depends on accurate assessment of skeletal maturation, particularly the pubertal growth spurt (PGS). This systematic review and meta-analysis evaluated the performance of artificial intelligence (AI) models for identifying...
Marginal fit of crowns fabricated via simultaneous digital workflows for integrated fiber post-and-core and crown: an in vitro study
Abstract Background For teeth with extensive structural defects, the post-and-core crown is a well-established, but multi-visit approach to preserving the natural tooth. Digital workflows enable simultaneous fabrication of the post-and-core and crown; however, the marginal fit of the crown produced...