Artificial intelligence for classification and detection of oral mucosa lesions on photographs: a systematic review and meta-analysis.

Objective: This study aimed to review and synthesize studies using artificial intelligence (AI) for classifying, detecting, or segmenting oral mucosal lesions on photographs.

Materials And Method: Inclusion criteria were (1) studies employing AI to (2) classify, detect, or segment oral mucosa lesions, (3) on oral photographs of human subjects. Included studies were assessed for risk of bias using Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2).

The current novel drug delivery system (natural and chemical composites) in dental infections for antibiotics resistance: a narrative review.

A mouth infection can also affect the teeth, the mouth tissues, and any other areas involved in the mouth. Biofilms formed by bacteria are the primary cause of mouth infections and other infectious diseases caused by bacteria. The most common dental problem is an infection or disease within the mouth.

Evaluation of the current MicroRNAs expression levels as potential biomarkers in Oral Squamous Cell Carcinoma.

As the most common malignancy, oral squamous cell carcinoma (OSCC) is typically fatal. The survival of patients with oral cancer has not improved, and tumor recurrence remains high. During tumorigenesis, microRNAs (miRNAs) regulate gene expression.