Objectives Detecting caries lesions is challenging for dentists, and deep learning models
may help practitioners to increase accuracy and reliability. We aimed to systematically …

Objectives This systematic review aimed at evaluating the performance of artificial
intelligence (AI) models in detecting dental caries on oral photographs. Methods …

Within the ever-growing healthcare industry, dental informatics is a burgeoning field of study.
One of the major obstacles to the health care system's transformation is obtaining …

The Integration of machine learning and traditional image processing in dentistry has
resulted in many applications like automatic teeth identification and numbering, caries …

Objectives In recent years, periodontitis, and dental caries have become common in humans
and need to be diagnosed in the early stage to prevent severe complications and tooth loss …

The early identification of dental caries is necessary for corresponding treatments and the
above reason, the bitewing radiography is utilized to offer initial caries detection. In clinical …

Dental caries is one of the oral health problems and the most common chronic infectious
disease of childhood, and neural networks and artificial intelligence are increasingly being …

Dental caries, a progressive bacterial infection, is a leading cause of tooth loss, often due to
inadequate dental hygiene. Addressing this pervasive issue is essential to mitigate various …

This study evaluates the effectiveness of an Artificial Intelligence (AI)-based smartphone
application designed for decay detection on intraoral photographs, comparing its …

With the significant growth of modern technology and its integration into many different
industries, especially in the healthcare sector, artificial intelligence is one of the critical …