Latest AI and machine learning research in dermatology for healthcare professionals.
Skin cancer stands as one of the foremost challenges in oncology, with its early detection being cru...
OBJECTIVE: Psoriatic disease remains underdiagnosed and undertreated. We developed and validated a s...
Skin cancer is a lethal disease, and its early detection plays a pivotal role in preventing its spre...
Melanoma showcases a complex interplay of genetic alterations and intra- and inter-cellular morpholo...
BACKGROUND: Although there has been some progress in the treatment of primary uveal melanoma (UVM), ...
INTRODUCTION: This study sought to analyze the relationships between cutaneous leishmaniasis and its...
INTRODUCTION: Melanocytic nevi (MN), warts, seborrheic keratoses (SK), and psoriasis are four common...
BACKGROUND: Melanoma is a serious risk to human health and early identification is vital for treatme...
Cutaneous fungal infections are one of the most common skin conditions, hence, the burden of determi...
BACKGROUND: Chatbots using the Large Language Model (LLM) generate human responses to questions from...
In dermoscopic images, which allow visualization of surface skin structures not visible to the naked...
AIMS: Over 50% of breast cancer cases are "Human epidermal growth factor receptor 2 (HER2) low breas...
Uveal melanoma (UM) patients face a significant risk of distant metastasis, closely tied to a poor p...
Develop a radiomics nomogram that integrates deep learning, radiomics, and clinical variables to pre...
BACKGROUND: Dermatology is an ideal specialty for artificial intelligence (AI)-driven image recognit...
In clinical conditions limited by equipment, attaining lightweight skin lesion segmentation is pivot...
Machine learning offers great potential for automated prediction of post-stroke symptoms and their r...
AIMS: Uveal melanoma has a high propensity to metastasize. Prognosis is associated with specific dri...
Deep learning (DL) has proven highly effective for ultrasound-based computer-aided diagnosis (CAD) o...
Automatic mucosal lesion segmentation is a critical component in computer-aided clinical support sys...
Blurry images in teledermatology and consultation increased the diagnostic difficulty for both deep...