This paper provides an overview of artificial-intelligence (AI), as applied to dermatology. We
focus our discussion on methodology, AI applications for various skin diseases, limitations …

Monkeypox is a rare viral disease that can cause severe illness in humans, presenting with
skin lesions and rashes. However, accurately diagnosing monkeypox based on visual …

Artificial intelligence (AI) has been cited as being helpful in the diagnosis of diseases, the
prediction of prognoses, and the development of patient-specific therapeutic strategies. AI …

Objective This study aimed to review and synthesize studies using artificial intelligence (AI)
for classifying, detecting, or segmenting oral mucosal lesions on photographs. Materials and …

Artificial intelligence (AI) has been used in healthcare for decades and has the potential to
revolutionize dentistry by solving multiple clinical problems and making the work of …

Introduction Oral squamous cell carcinomas (OSCC) seen in the oral cavity are a category of
diseases for which dentists may diagnose and even cure. This study evaluated the …

Bionic artificial neural networks (BANNs) are a type of artificial neural network (ANN)[1] that
draw inspiration from the biological neural networks in living organisms, such as the brain …

Immuno-correlated dermatological pathologies refer to skin disorders that are closely
associated with immune system dysfunction or abnormal immune responses. Advancements …

Objectives The aim of this study is to perform tooth numbering using deep learning
algorithms on digital dental photographs, and to evaluate the success of these algorithms in …

Objectives Diagnosing oral potentially malignant disorders (OPMD) is critical to prevent oral
cancer. This study aims to automatically detect and classify the most common pre-malignant …