Dermatology

Diversity and dermatology through the lens of generative artificial intelligence portrayals: a demographic analysis of race and gender representation.

A Symbolic AI Approach to Medical Training.

In traditional medical education, learners are mostly trained to diagnose and treat patients through...

A vision-language foundation model for precision oncology.

Clinical decision-making is driven by multimodal data, including clinical notes and pathological cha...

Boosting skin cancer diagnosis accuracy with ensemble approach.

Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential. Effective ...

The Comparative Sufficiency of ChatGPT, Google Bard, and Bing AI in Answering Diagnosis, Treatment, and Prognosis Questions About Common Dermatological Diagnoses.

Our team explored the utility of unpaid versions of 3 artificial intelligence chatbots in offering p...

Attention-Guided 3D CNN With Lesion Feature Selection for Early Alzheimer's Disease Prediction Using Longitudinal sMRI.

Predicting the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is criti...

DCTP-Net: Dual-Branch CLIP-Enhance Textual Prompt-Aware Network for Acute Ischemic Stroke Lesion Segmentation From CT Image.

Detecting early ischemic lesions (EIL) in computed tomography (CT) images is crucial for reducing di...

Melanoma Breslow Thickness Classification Using Ensemble-Based Knowledge Distillation With Semi-Supervised Convolutional Neural Networks.

Melanoma is considered a global public health challenge and is responsible for more than 90% deaths ...

Deep learning-based prediction of HER2 status and trastuzumab treatment efficacy of gastric adenocarcinoma based on morphological features.

BACKGROUND: First-line treatment for advanced gastric adenocarcinoma (GAC) with human epidermal grow...

Automatic image generation and stage prediction of breast cancer immunobiological through a proposed IHC-GAN model.

Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epid...

Lesion classification and diabetic retinopathy grading by integrating softmax and pooling operators into vision transformer.

INTRODUCTION: Diabetic retinopathy grading plays a vital role in the diagnosis and treatment of pati...

Integrating bioinformatics and machine learning to identify AhR-related gene signatures for prognosis and tumor microenvironment modulation in melanoma.

BACKGROUND: The Aryl Hydrocarbon Receptor (AhR) pathway significantly influences immune cell regulat...

Marine actinobacteria metabolites: unlocking new treatments for acne vulgaris.

Marine-derived actinobacteria isolated from sponge and soft coral were screened for antibacterial ...

Automated ultrasonography of hepatocellular carcinoma using discrete wavelet transform based deep-learning neural network.

This study introduces HCC-Net, a novel wavelet-based approach for the accurate diagnosis of hepatoce...

Attention-Guided Learning With Feature Reconstruction for Skin Lesion Diagnosis Using Clinical and Ultrasound Images.

Skin lesion is one of the most common diseases, and most categories are highly similar in morphology...

Unveiling pathology-related predictive uncertainty of glomerular lesion recognition using prototype learning.

OBJECTIVE: Recognizing glomerular lesions is essential in diagnosing chronic kidney disease. However...

Comparison of the spatial and temporal distribution of cutaneous and mucosal leishmaniasis in the state of Rio de Janeiro between 2001 and 2011.

OBJECTIVE: To compare the spatio-temporal distribution of cutaneous leishmaniasis (CL) cases with mu...

Noninvasive machine-learning models for the detection of lesion-specific ischemia in patients with stable angina with intermediate stenosis severity on coronary CT angiography.

This study proposed noninvasive machine-learning models for the detection of lesion-specific ischemi...

Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification.

Accurate diagnosis of oral lesions, early indicators of oral cancer, is a complex clinical challenge...

Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma.

Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is asso...

Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis.

Major underlying health issues can be indicated by even minor nail infections. Subungual Melanoma is...