Effect of Surface Treatments on the Bond Strength of Computer-aided Design and Computer-aided Manufacturing Lithium Disilicate to Restorative Materials: A Systematic Review.

Objectives: Using computer-aided design and manufacturing (CAD-CAM) technology in restorative dentistry increased the application of lithium disilicate (LD) materials. The bond strength to core and repairing materials is crucial in the restoration's longevity. This systematic review evaluates the shear bond strength (SBS) of CAD-CAM-LD restorative materials to other materials using different surface treatments.

A Comparative Analysis of Responses of Artificial Intelligence Chatbots in Special Needs Dentistry.

To evaluate the accuracy and consistency of chatbots in answering questions related to special needs dentistry. Nine publicly accessible chatbots, including Google Bard, ChatGPT 4, ChatGPT 3.5, Llama, Sage, Claude 2 100k, Claude-instant, Claude-instant-100k, and Google PaLM, were evaluated on their ability to answer a set of 25 true/false questions related to special needs dentistry and 15 questions for syndrome diagnosis based on their oral manifestations.

Deep Learning-Based Image Classification and Segmentation on Digital Histopathology for Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.

Background: Artificial intelligence (AI)-based tools have shown promise in histopathology image analysis in improving the accuracy of oral squamous cell carcinoma (OSCC) detection with intent to reduce human error.

Objectives: This systematic review and meta-analysis evaluated deep learning (DL) models for OSCC detection on histopathology images by assessing common diagnostic performance evaluation metrics for AI-based medical image analysis studies.

Methods: Diagnostic accuracy studies that used DL models for the analysis of histopathological images of OSCC compared to the reference standard were analyzed.

Core outcomes measures in dental computer vision studies (DentalCOMS).

Objectives: To improve reporting and comparability as well as to reduce bias in dental computer vision studies, we aimed to develop a Core Outcome Measures Set (COMS) for this field. The COMS was derived consensus based as part of the WHO/ITU/WIPO Global Initiative AI for Health (WHO/ITU/WIPO AI4H).

Methods: We first assessed existing guidance documents of diagnostic accuracy studies and conducted interviews with experts in the field.

Comparative analysis of cytotoxicity effects of two denture hard lining materials on human gingival fibroblasts: an in vitro study.

Background: The objective of this study was to compare the cytotoxicity of TDV and Rebase II denture hard liners on human gingival fibroblasts, aiming to address issues associated with incomplete polymerization and free monomers that affect material properties.

Methods: Seventy-two specimens (24 each of TDV, Rebase II, and controls) were prepared under aseptic conditions according to factory instructions. Cytotoxicity was determined using the MTT test with methyl tetrazolium salt added to the cell culture medium.