Latest AI and machine learning research in dermatology for healthcare professionals.
BACKGROUND: The field of dermatological image analysis using deep neural networks includes the seman...
OBJECTIVES: This study aimed to evaluate periostin serum levels and skin expression in patients with...
RATIONALE AND OBJECTIVES: Efficiently detecting and characterizing metastatic bone lesions on stagin...
This study aimed to design an end-to-end deep learning model for estimating the value of fractional ...
Pathologists routinely use immunohistochemical (IHC)-stained tissue slides against MelanA in additio...
Histopathology is the gold standard for diagnosing fibrosis, but its routine use is constrained by t...
High-fidelity and comfortable recording of electrophysiological (EP) signals with on-the-fly setup i...
Artificial intelligence (AI) algorithms for skin lesion classification have reported accuracy at par...
Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed medical ap...
Data Augmentation is a crucial tool in the Machine Learning (ML) toolbox because it can extract nove...
Cancer vaccines have been increasingly studied and developed to prevent or treat various types of ca...
This study focused on a novel strategy that combines deep learning and radiomics to predict epiderma...
This special article provides a comprehensive commentary on the significant role of artificial intel...
and produced significant amounts of water-insoluble melanins, and our previous study successfully ...
BACKGROUND: Skin cancer is one of the most common forms worldwide, with a significant increase in in...
We describe a novel assay and artificial intelligence-driven histopathologic approach identifying de...
Using the particular nature of melanoma mutanomes to develop medicines that activate the immune syst...
() is a major pathogen implicated in the evolution of acne inflammation. Inhibition of -induced inf...