Dermatology

Machine learning developed an intratumor heterogeneity signature for predicting prognosis and immunotherapy benefits in skin cutaneous melanoma.

Intratumor heterogeneity (ITH) is defined as differences in molecular and phenotypic profiles betwee...

Identification of characteristic genes and herbal compounds for the treatment of psoriasis based on machine learning and molecular dynamics simulation.

Psoriasis brings economic and mental burdens to patients, the exact etiology and pathogenesis of pso...

Basal Cell Carcinoma Diagnosis with Fusion of Deep Learning and Telangiectasia Features.

In recent years, deep learning (DL) has been used extensively and successfully to diagnose different...

identification of human microRNAs pointing centrin genes in : Considering the RNAi-mediated gene control.

Leishmaniasis, a parasitic disease caused by different species of the protozoa parasite , is a negle...

The communication of artificial intelligence and deep learning in computer tomography image recognition of epidemic pulmonary infectious diseases.

The objectives are to improve the diagnostic efficiency and accuracy of epidemic pulmonary infectiou...

The performance of an artificial intelligence-based computer vision mobile application for the image diagnosis of genital dermatoses: a prospective cross-sectional study.

BACKGROUND: There is a huge demand-supply gap between the incidence of genital dermatoses (including...

DBNet-SI: Dual branch network of shift window attention and inception structure for skin lesion segmentation.

The U-shaped convolutional neural network (CNN) has attained remarkable achievements in the segmenta...

Diagnosing oral and maxillofacial diseases using deep learning.

The classification and localization of odontogenic lesions from panoramic radiographs is a challengi...

Fusion between an Algorithm Based on the Characterization of Melanocytic Lesions' Asymmetry with an Ensemble of Convolutional Neural Networks for Melanoma Detection.

Melanoma is still a major health problem worldwide. Early diagnosis is the first step toward reducin...

Understanding skin color bias in deep learning-based skin lesion segmentation.

BACKGROUND: The field of dermatological image analysis using deep neural networks includes the seman...

Periostin expression in uninvolved skin as a potential biomarker for rapid cutaneous progression in systemic sclerosis patients: a preliminary explorative study.

OBJECTIVES: This study aimed to evaluate periostin serum levels and skin expression in patients with...

Point-of-care diagnosis of tissue fibrosis: a review of advances in vibrational spectroscopy with machine learning.

Histopathology is the gold standard for diagnosing fibrosis, but its routine use is constrained by t...

Skin preparation-free, stretchable microneedle adhesive patches for reliable electrophysiological sensing and exoskeleton robot control.

High-fidelity and comfortable recording of electrophysiological (EP) signals with on-the-fly setup i...

A Narrative Review: Opportunities and Challenges in Artificial Intelligence Skin Image Analyses Using Total Body Photography.

Artificial intelligence (AI) algorithms for skin lesion classification have reported accuracy at par...

Unsupervised SoftOtsuNet Augmentation for Clinical Dermatology Image Classifiers.

Data Augmentation is a crucial tool in the Machine Learning (ML) toolbox because it can extract nove...

Deep learning-radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients.

This study focused on a novel strategy that combines deep learning and radiomics to predict epiderma...

Harnessing the Power of Artificial Intelligence in Dermatology: A Comprehensive Commentary.

This special article provides a comprehensive commentary on the significant role of artificial intel...

Using multiple real-world dermoscopic photographs of one lesion improves melanoma classification via deep learning.

Anti-ultraviolet, antibacterial, and biofilm eradication activities against of melanins and melanin derivatives from and .

and produced significant amounts of water-insoluble melanins, and our previous study successfully ...

Artificial intelligence for skin cancer detection and classification for clinical environment: a systematic review.

BACKGROUND: Skin cancer is one of the most common forms worldwide, with a significant increase in in...

Novel B-DNA dermatophyte assay for demonstration of canonical DNA in dermatophytes: Histopathologic characterization by artificial intelligence.

We describe a novel assay and artificial intelligence-driven histopathologic approach identifying de...