Latest AI and machine learning research in dermatology for healthcare professionals.
Medication use during adolescence provides important insight into current health and treatment patte...
Current approaches to selecting molecularly targeted therapies (biologics and oral small molecules) ...
The adoption of artificial intelligence in dermatology promises democratized access to healthcare, b...
Severe cutaneous adverse reactions (SCARs), including Stevens-Johnson syndrome/toxic epidermal necro...
Dystonia is one of the most prevalent movement disorders, but its neural substrates have remained en...
Three-dimensional (3D) bioprinting is a promising approach to developing reliable tissue substitutes...
BACKGROUND: Accurately evaluating human epidermal growth factor receptor (HER2) expression status in...
OBJECTIVE: This study aims to examine association between vitamin D with melanoma and develop an exp...
BACKGROUND: Psoriasis and Crohn's disease (CD) are chronic inflammatory diseases that involve comple...
BACKGROUND: Vitiligo is a skin disorder characterized by the progressive loss of pigmentation in the...
This study aimed to compare image quality and solid focal liver lesion (FLL) assessments between fre...
Purpose To develop a deep learning tool for the automatic segmentation of the spinal cord and intram...
This study identifies microRNAs (miRNAs) with significant discriminatory power in distinguishing mel...
With the rapid advancement of deep learning technologies, artificial intelligence has become incre...
Assessing lesions and tracking their progression over time in brain magnetic resonance (MR) images...
The global outbreak of the Mpox virus, classified as a Public Health Emergency of International Co...
In this paper we present a hybrid method for the automatic detection of dermatological pathologies...
Deep Learning has shown outstanding results in computer vision tasks; healthcare is no exception. ...
Early detection of skin abnormalities plays a crucial role in diagnosing and treating skin cancer....
We propose a method to improve the generalization of skin lesion classification models by combinin...
Skin cancer remains one of the most common and deadly forms of cancer, necessitating accurate and ea...