Herein, the aim is to discuss the current knowledge of microbiome and periodontal diseases.
Current treatment strategies include mechanical therapy such as root planing, scaling, deep …

Objectives To conduct a scoping review focusing on artificial intelligence (AI) applications in
presurgical dental implant planning. Additionally, to assess the automation degree of …

Germectomy is a common surgery in pediatric dentistry to prevent the potential dangers
caused by impacted mandibular wisdom teeth. Segmentation of mandibular wisdom teeth is …

The issue of missing teeth caused by dental microcracks has become a central topic in
dental clinical medicine. Near-infrared technology combined with advanced image …

Objectives The transition from manual to automatic cephalometric landmark identification
has not yet reached a consensus for clinical application in orthodontic diagnosis. The …

Objectives The purpose of this scoping review was to evaluate the performance of artificial
intelligence (AI) in the prognosis of dental implants. Data Studies that analyzed the …

Deep learning approaches for tooth segmentation employ convolutional neural networks
(CNNs) or Transformers to derive tooth feature maps from extensive training datasets. Tooth …

Objective The purpose of this study was to evaluate the potential of miR-200 family members
in gingival crevicular fluid (GCF) as diagnostic biomarkers for chronic periodontitis (CP) …

Objectives To provide an overview of the current artificial intelligence (AI) based applications
for assisting digital data acquisition and implant planning procedures. Overview A review of …

Objectives Segmentation of anatomical structures on dento-maxillo-facial (DMF) computed
tomography (CT) or cone beam computed tomography (CBCT) scans is increasingly needed …