Objective To perform a comprehensive review of the use of artificial intelligence (AI) and
machine learning (ML) in dentistry, providing the community with a broad insight on the …

Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

Simple Summary Oral cancer is the most common type of head and neck cancer worldwide.
The detection of oral potentially malignant disorders, which carry a risk of develo** into …

Simple Summary Oral cancer is characterized by high morbidity and mortality, since the
disease is typically in an advanced locoregional stage at the time of diagnosis. The …

Background Oral cancer is a deadly disease among the most common malignant tumors
worldwide, and it has become an increasingly important public health problem in develo** …

Oral cancer (OC) is the sixth most commonly reported malignant disease globally, with high
rates of disease-related morbidity and mortality due to advanced loco-regional stage at …

Aim The early detection of oral cancer (OC) at the earliest stage significantly increases
survival rates. Recently, there has been an increasing interest in the use of artificial …

Artificial intelligence (AI) applications in oncology have been developed rapidly with
reported successes in recent years. This work aims to evaluate the performance of deep …

Oral squamous cell carcinoma (OSCC) is amongst the most common malignancies, with an
estimated incidence of 377,000 and 177,000 deaths worldwide. The interval between the …

Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and
its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and …