Latest AI and machine learning research in dermatology for healthcare professionals.
Optical photons undergo strong scattering when propagating beyond 1-mm deep inside biological tissue...
We apply for the first-time interpretable deep learning methods simultaneously to the most common sk...
The RoScan is a novel, high-accuracy multispectral surface scanning system producing colored 3D mode...
Cutaneous leishmaniasis is one of the diseases that severely affects human skin. Nanogels are the we...
PURPOSE:  A recently developed deep learning model (U-Net) approximated the clinical performance of ...
Skin cancer is among the 10 most common cancers. Recent research revealed the superiority of artific...
PURPOSE: Several biomarkers of response to immune checkpoint inhibitors (ICI) show potential but are...
This study aims at analyzing the separability of acute cerebral infarction lesions which were invisi...
Common properties of dermatological diseases are mostly lesions with abnormal pattern and skin color...
Convolutional neural networks (CNN) have shown unprecedented accuracy in digital image analysis, whi...
The first and foremost step in the diagnosis of ischemic stroke is the delineation of the lesion fro...
Progressive multifocal leukoencephalopathy (PML) is a rare opportunistic brain infection caused by t...
Stroke lesion volume is a key radiologic measurement in assessing prognosis of acute ischemic stroke...
Label free imaging of oxygenation distribution in tissues is highly desired in numerous biomedical a...
Recently, there has been great interest in developing Artificial Intelligence (AI) enabled computer-...
Identification of novel protein binding sites expands druggable genome and opens new opportunities f...
PURPOSE: In medical image analysis, deep learning has great application potential. Discovering a met...
We introduce the first-ever statistical framework for estimating the age of Multiple Sclerosis (MS) ...
In the dermoscopic diagnosis of skin tumors, it remains unclear whether a deep neural network (DNN) ...
Dermatological diagnosis remains challenging for nonspecialists because the morphologies of primary ...
Melanoma recognition is challenging due to data imbalance and high intra-class variations and large ...