Background Oral cancer can show heterogenous patterns of behavior. For proper and
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …

Objectives Machine learning platforms are now being introduced into modern oncological
practice for classification and prediction of patient outcomes. To determine the current status …

Over the years, several machine-learning applications have been suggested to assist in
various clinical scenarios relevant to oral cancer. We offer a systematic review to identify …

Background Recently, there has been a momentous drive to apply advanced artificial
intelligence (AI) technologies to diagnostic medicine. The introduction of AI has provided …

Background The natural history of oral squamous cell carcinoma (OSCC) is complicated by
progressive disease including loco‐regional tumour recurrence and development of distant …

Oral cancer (OC) is a deadly disease with a high mortality and complex etiology. Artificial
intelligence (AI) is one of the outstanding innovations in technology used in dental science …

Oral cancer (OC) is one of the most common forms of head and neck cancer and continues
to have the lowest survival rates worldwide, even with advancements in research and …

Cancer is a problematic global health issue with an extremely high fatality rate throughout
the world. The application of various machine learning techniques that have appeared in the …

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 …

The global occurrence of oral cancer (OC) has increased in recent years. OC that is
diagnosed in its advanced stages results in morbidity and mortality. The use of technology …