Assessment of AI-Driven Software Accuracy in Diagnosing Oral Lesions Using Radiographic Imaging.

Background: The application of artificial intelligence (AI) in dentistry has gained significant attention, particularly in diagnosing oral lesions using radiographic imaging.

Materials And Methods: A total of 150 digital radiographic images of patients with suspected oral lesions were analyzed. The dataset was split into training (70%) and testing (30%) subsets for the AI model.

Salivary Biomarkers vs. Conventional Biopsy for Oral Cancer Detection in India: A Comparative Study.

Objective: Oral cancer, predominantly oral squamous cell carcinoma (OSCC), constitutes a major global health concern with alarmingly high-morbidity and mortality rates. Early detection is crucial for improving patient outcomes. This study aims to compare the diagnostic accuracy of salivary biomarkers against conventional biopsy in detecting oral cancer.

Effectiveness of Oral Cephalexin-Clavulanic Acid, Cefuroxime, and Amoxicillin-Clavulanic Acid in the Management of Dental Infections: A Real-World, Retrospective, Electronic Medical Record-Based Study in India.

Background: Despite multiple antibiotics being available to manage dental infections (DI), there is lack of data comparing commonly prescribed antibiotics in India.

Objectives: The aim of this study was to evaluate the real-world effectiveness and tolerability of cephalexin-clavulanic acid fixed-dose combination (cephalexin CV FDC) in contrast with amoxicillin-clavulanic acid (co-amoxiclav FDC) and cefuroxime among patients with dental infections (odontogenic) in India.

Methods: This retrospective, multi-centric, observational, real-world electronic medical record (EMR)-based study was conducted between January 2022 and December 2022.