Latest AI and machine learning research in dermatology for healthcare professionals.
Accurate localization of neonatal hypoxic--ischemic encephalopathy (HIE) lesions on apparent diffusi...
Early diagnosis of hepatocellular carcinoma is critical to preserve access to curative treatment opt...
Smartphone clinical images provide a low-cost data source for computer-aided skin lesion classificat...
Lesion network mapping (LNM) has provided a compelling framework in clinical neuroscience, linking f...
We present Mixture-of-Wavelet-Experts (MoWE), a spatially adaptive routing mechanism that replaces m...
Cellular migration and tumor evolution are central to tissue homeostasis and cancer biology. Rapid a...
Cancers frequently co-opt genes and transcriptional networks associated with embryos and stem cells,...
Whole-slide images may contain coexisting lesions, yet weak supervision typically provides only the ...
Purpose: Cyclin-dependent kinase 4/6 inhibitors in combination with endocrine therapy have become wi...
Clinical screening for diabetic retinopathy proceeds in stages, yet most automated systems grade fun...
Background: Software tools can support MRI diagnosis of focal cortical dysplasias (FCDs) - subtle, s...
Medical vision-language models (VLMs) have shown increasing potential for clinical image interpretat...
Medical vision-language models (VLMs) have shown increasing potential for radiological image interpr...
Gene set enrichment analysis (GSEA) turns differential expression results into lists of enriched gen...
The clinical integration of AI systems in digital dermatology relies heavily on human trust. Clinica...
Handcrafted preprocessing is widely employed in automated dermoscopic analysis to suppress imaging a...
Skin cancer is a major global health concern, and early detection and accurate lesion delineation ar...
Background and Objective: Micro-ultrasound (MicroUS) is an emerging high-resolution imaging modality...
Melanoma is the deadliest type of skin cancer, whose early diagnosis is crucial for patients' surviv...
Accurately quantifying the predictive uncertainty or improving model calibration plays an important ...
The application of machine learning to dermatology has grown substantially in recent years, moving b...