Latest AI and machine learning research in dermatology for healthcare professionals.
Invasive Coronary Angiography (ICA) is the clinical gold standard for the assessment of coronary art...
Deletions in Exon-19 of the epidermal growth factor receptor (EGFR) play a pivotal role in the patho...
Background: Diffusion MRI (dMRI) is widely used to assess microstructural abnormalities in multiple ...
Despite recent advances in deep generative modeling, skin lesion classification systems remain const...
Recombinant human Interleukin-2 (rhIL-2, Aldesleukin) is used in immunotherapy for metastatic melano...
Identifying predictive biomarkers of immunotherapeutic response in melanoma remains an outstanding c...
Clinical diagnosis of skin lesions integrates visual dermoscopic features with patient context such ...
Breast ultrasound diagnosis typically proceeds from global lesion localization to local sign assessm...
ABSTRACT Background: Sezary syndrome (SS) represents an aggressive leukemic variant of cutaneous T-c...
Background: Current diagnostic criteria for multiple sclerosis (MS) rely on white matter lesions (WM...
Background: Previous research has shown that radiomics-based machine learning models are promising p...
Medical image retrieval aims to identify clinically relevant lesion cases to support diagnostic deci...
Accurate localization of tumor regions from hematoxylin and eosin-stained whole-slide images is fund...
Diabetic Retinopathy (DR) requires timely screening to prevent irreversible vision loss. However, it...
The growing number of spatial transcriptomics (ST) datasets enables comprehensive multi-modal charac...
Glomerular pathology is central to the diagnosis and prognosis of renal diseases, yet the heterogene...
Psoriasis affects over 125 million people worldwide, yet the mechanistic understanding of keratinocy...
The rapid progress of multimodal large language models (MLLMs) has led to increasing interest in age...
Report-supervised (RSuper) learning seeks to alleviate the need for dense tumor voxel labels with co...
Source-free domain adaptation (SFDA) aims to adapt a model trained in the source domain to perform w...
Skin lesion classification datasets often suffer from severe class imbalance, with malignant cases s...