Background Multiple studies have compared the performance of artificial intelligence (AI)–
based models for automated skin cancer classification to human experts, thus setting the …

Background Due to their ability to solve complex problems, deep neural networks (DNNs)
are becoming increasingly popular in medical applications. However, decision-making by …

Background The use of immune checkpoint blockade (ICB) for uveal melanoma (UM) is little
established. The aim of this review was to provide a comprehensive overview on the …

Background Recent studies have successfully demonstrated the use of deep-learning
algorithms for dermatologist-level classification of suspicious lesions by the use of excessive …

Background Recent studies have demonstrated the use of convolutional neural networks
(CNNs) to classify images of melanoma with accuracies comparable to those achieved by …

Aim To characterise clinical presentation, laboratory and histopathologic characteristics and
assess the treatment and outcome of neuromuscular side-effects of checkpoint therapy …

Background Uveal melanoma (UM) is an ocular malignancy with high potential for
metastatic spread. In contrast to cutaneous melanoma, immunotherapy has not yet shown …

Background Hotspot mutations of the oncogenes BRAF and NRAS are the most common
genetic alterations in cutaneous melanoma. Specific inhibitors of BRAF and MEK have …

Background Clinicians and pathologists traditionally use patient data in addition to clinical
examination to support their diagnoses. Objectives We investigated whether a combination …

Background Immune checkpoint inhibition and in particular anti-PD-1 immunotherapy have
revolutionized the treatment of advanced melanoma. In this regard, higher tumoral PD-L1 …