Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …

The aim of this study was to evaluate and compare the stress concentration of short dental
implants supporting different conical abutments using 3D finite element analysis (3D-FEA). A …

As the popularity of dental implants continues to grow at a rate of about 14% per year, so do
the risks associated with the procedure. Complications such as sinusitis and nerve damage …

Background Osseointegrated dental implants are widely established as a first-choice
treatment for the replacement of missing teeth. Clinical outcomes are however often …

This study investigated the effects of antirotational titanium bases on the mechanical
behavior of CAD/CAM titanium bases used for implant-supported prostheses. The aim was …

Background The aim of this study was to assess practicing dentists' characteristics and
professional aspects that influence users to adopt Digital Technologies in Dentistry (DTD) in …

Objectives Sterilization eliminates microbial viability by decreasing the biological load, but
likewise have the ability to deteriorate the mechanical properties of an implant material. This …

The use of titanium and titanium-based alloys in the human body due to their resistance to
corrosion, implant ology and dentistry has led to significant progress in promoting new …

Dynamic Fuzzy Neural Network (DFNN) is an extension of Fuzzy Neural Network (FNN). It
combines the advantages of fuzzy logic and neural network to deal with uncertainty and …

Orofacial defects caused by congenital anomalies, trauma, or surgical procedures present
complex challenges that affect physical function and psychological well-being. Maxillofacial …