Latest AI and machine learning research in dermatology for healthcare professionals.
BACKGROUND: Deep learning in dermatology presents promising tools for automated diagnosis but faces ...
In recent years, there has been a significant improvement in the accuracy of the classification of p...
In solid tumor oncology, circulating tumor DNA (ctDNA) is poised to transform care through accurate ...
Accurate assessment of epidermal growth factor receptor (EGFR) mutation status and subtype is critic...
Dengue causes approximately 10.000 deaths and 100Â million symptomatic infections annually worldwide,...
To develop a robust segmentation model, encoding the underlying features/structures of the input dat...
Retinal diseases are among nowadays major public health issues, deservedly needing advanced computer...
PURPOSE: To conduct the fusion of radiomics and deep transfer learning features from the intratumora...
Occupational dermatoses impose a significant socioeconomic burden. Allergic contact dermatitis relat...
Nail psoriasis is a chronic condition characterized by nail dystrophy affecting the nail matrix and ...
OBJECTIVES: This study aims to analyze factors associated with positive surgical margins following c...
The greenhouse gases cause global warming on Earth. The cement production industry is one of the lar...
Skin cancer is one of the most frequently occurring cancers worldwide, and early detection is crucia...
Accurate prediction of pneumoconiosis is essential for individualized early prevention and treatment...
Melanoma is an uncommon and dangerous type of skin cancer. Dermoscopic imaging aids skilled dermatol...
Melanoma is the fifth most common cancer in the United States. Conventional drug discovery methods a...
BACKGROUND: Machine learning (ML) offers an opportunity in contact dermatitis (CD) research, where w...
Melanoma, the deadliest form of skin cancer, has seen a steady increase in incidence rates worldwide...
Lesion segmentation is a fundamental step for the diagnosis of acute ischemic stroke (AIS). Non-cont...
With the renaissance of deep learning, automatic diagnostic algorithms for computed tomography (CT) ...
Noninvasively and accurately predicting the epidermal growth factor receptor (EGFR) mutation status ...