Background: Machine learning (ML) has emerged as a branch of artificial intelligence
dealing with the analysis of large amounts of data. The applications of ML algorithms have …

Dental diseases have become commonplace in todays fast paced world. Currently, most
medical practitioners rely on manual analysis of a patient's oral cavity for initial diagnosis …

Background: Machine learning (ML) is a key component of artificial intelligence (AI). The
terms machine learning, artificial intelligence, and deep learning are erroneously used …

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 …

The field of artificial intelligence (AI) has experienced spectacular development and growth
over the past two decades. With recent progress in digitized data acquisition, machine …

We performed a systematic review to evaluate the success of machine learning algorithms in
the diagnosis and prognostic prediction of dental caries. The review protocol was a priori …

Artificial Intelligence (AI) technologies play a significant role and significantly impact various
sectors, including healthcare, engineering, sciences, and smart cities. AI has the potential to …

Introduction: Despite multiple prognostic indicators described for oral cavity squamous cell
carcinoma (OCSCC), its management still continues to be a matter of debate. Machine …

Oral and maxillofacial anatomy is extremely complex, and medical imaging is critical in the
diagnosis and treatment of soft and bone tissue lesions. Hence, there exists accumulating …

The past few decades have witnessed remarkable progress in the application of artificial
intelligence (AI) and machine learning (ML) in medicine, notably in medical imaging. The …