Deep Learning Applications in Dental Image-Based Diagnostics: A Systematic Review.

: AI has been adopted in dentistry for diagnosis, decision making, and therapy prognosis prediction. This systematic review aimed to identify AI models in dentistry, assess their performance, identify their shortcomings, and discuss their potential for adoption and integration in dental practice in the future. : The sources of the papers were the following electronic databases: PubMed, Scopus, and Cochrane Library.

Rare Allergic Reaction to Local Anesthesia: A Case Report.

One of the most commonly used local anesthetic (LA) agents in dentistry is lidocaine. Hypersensitivity reactions to lidocaine have been reported. In such cases, it is crucial to record a detailed clinical history and perform allergy testing to select a suitable alternative LA agent.

AI-based 3D-QSAR model of FDA-approved repurposed drugs for inhibiting sclerostin.

Background: Wnt activation promotes bone formation and prevents bone loss. The Wnt pathway antagonist sclerostin and additional anti-sclerostin antibodies were discovered as a result of the development of the monoclonal antibody romosozumab. These monoclonal antibodies greatly increase the risk of cardiac arrest.