Latest AI and machine learning research in dermatology for healthcare professionals.
Automated diabetic retinopathy (DR) grading from colour fundus photographs can achieve strong predic...
Background. Breast cancer treatment depends on histopathological features, such as grade and recepto...
Lesion segmentation in breast ultrasound involves two related challenges. In images with lesions, sp...
Background: Corticospinal tract (CST) damage is a major cause of post-stroke motor deficits. However...
Automated skin cancer classification from dermoscopic images remains challenging due to heterogeneou...
Paramagnetic rim lesions (Rim$^+$) identified on susceptibility-sensitive MRI have recently emerged ...
In situ spatial (ISS) sequencing can uncover co-variation between cellular morphology and gene expre...
Frozen vision-transformer (ViT) foundation-model embeddings increasingly serve as the substrate for ...
Skin cancer is among the most prevalent malignancies worldwiAdbe satnradcitts early detection is ess...
Background: This study aimed to evaluate real-world adverse event (AE) signals of EV to provide evid...
Accurate lesion segmentation from whole-body Positron Emission Tomography (PET)/Computed Tomography ...
Skin cancer requires early detection for improved survival rates. Most existing methods rely on deep...
Medical vision-language models (VLMs) have shown increasing potential for clinical image interpretat...
Abstract Background: Kaposi sarcoma (KS) is the most common cancer among men in several Eastern Afri...
Background: Store-and-forward teledermatology commonly relies on several patient-submitted photograp...
Identifying the direct molecular targets of bioactive natural products remains a central challenge i...
Spatial transcriptomics couples hematoxylin and eosin (H&E) tissue morphology with spatially resolve...
Objective:This study aims to compare the advantages and disadvantages of DLIR and adaptive statisti...
This study presents a methodology for constructing a clinically verified dataset of dermatoscopic im...
Perturbations of genes with functional importance in T cells could be used to change the distributio...
Purpose: To assess whether breast lesion segmentation can be learned directly from acquired MRI k-sp...