Dermatology

Latest AI and machine learning research in dermatology for healthcare professionals.

3,936 articles
Stay Ahead - Weekly Dermatology research updates
Subscribe
Browse Specialties
Subcategories: Atopy Psoriasis
Showing 169-189 of 3,936 articles
Integrating Artificial Intelligence in Dermatological Cancer Screening and Diagnosis: Efficacy, Challenges, and Future Directions.

Skin cancer is the most common cancer in the United States, with incidence rates continuing to rise ...

Predicting Gene Comutation of EGFR and TP53 by Radiomics and Deep Learning in Patients With Lung Adenocarcinomas.

PURPOSE: This study was designed to construct progressive binary classification models based on radi...

Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis.

BACKGROUND: The "gut-skin axis" has been proposed to play an important role in the development and s...

Deep learning radiopathomics predicts targeted therapy sensitivity in EGFR-mutant lung adenocarcinoma.

BACKGROUND: Ttyrosine kinase inhibitors (TKIs) represent the standard first-line treatment for patie...

Challenges, optimization strategies, and future horizons of advanced deep learning approaches for brain lesion segmentation.

Brain lesion segmentation is challenging in medical image analysis, aiming to delineate lesion regio...

Impact of fine-tuning parameters of convolutional neural network for skin cancer detection.

Melanoma skin cancer is a deadly disease with a high mortality rate. A prompt diagnosis can aid in t...

SkinEHDLF a hybrid deep learning approach for accurate skin cancer classification in complex systems.

Skin cancer represents a significant global public health issue, and prompt and precise detection is...

Big data-driven target identification by machine learning: DRD2 as a therapeutic target for psoriasis.

BACKGROUND: The development of medical treatments has traditionally relied on researchers leveraging...

Integrating attention networks into a hybrid model for HER2 status prediction in breast cancer.

Breast cancer is one of the most prevalent cancers amongst women, caused by uncontrolled cell growth...

Variational mode directed deep learning framework for breast lesion classification using ultrasound imaging.

Breast cancer is the most prevalent cancer and the second cause of cancer related death among women ...

Prediction of Patient Visits for Skin Diseases through Enhanced Evolutionary Computation and Ensemble Learning.

Skin diseases are an important global public health issue, causing significant health and psychologi...

A semi-supervised prototypical network for prostate lesion segmentation from multimodality MRI.

Prostate lesion segmentation from multiparametric magnetic resonance images is particularly challeng...

Artificial intelligence to predict cancer risk, are we there yet? A comprehensive review across cancer types.

Cancer remains the second leading cause of death worldwide, representing a substantial challenge to ...

Sharper insights: Adaptive ellipse-template for robust fovea localization in challenging retinal landscapes.

Automated identification of retinal landmarks, particularly the fovea is crucial for diagnosing diab...

VMKLA-UNet: vision Mamba with KAN linear attention U-Net.

In the domain of medical image segmentation, while convolutional neural networks (CNNs) and Transfor...

Optimizing Immunotherapy: The Synergy of Immune Checkpoint Inhibitors with Artificial Intelligence in Melanoma Treatment.

Immune checkpoint inhibitors (ICIs) have transformed melanoma treatment; however, predicting patient...

Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning.

Clear cell renal cell carcinoma (ccRCC) is the most prevalent type of renal cell carcinoma. However,...

Recent advances in cutaneous drug delivery by iontophoresis.

INTRODUCTION: Iontophoresis has been extensively studied for topical and transdermal drug delivery t...

Browse Specialties