Dermatology

Automated detection and characterization of small cell lung cancer liver metastasis on computed tomography.

PURPOSE: Small cell lung cancer (SCLC) is an aggressive disease with diverse phenotypes that reflect...

Can we trust AI for acne advice: A double-blind performance comparison with NICE guidelines.

Reply to 'Risk stratification of cutaneous melanoma using deep learning on whole slide images'.

WaveNet-SF: A hybrid network for retinal disease detection based on wavelet transform in spatial-frequency domain.

Retinal diseases are a leading cause of vision impairment and blindness, with timely diagnosis being...

Deep Learning-Based CAD System for Enhanced Breast Lesion Classification and Grading Using RFTSDP Approach.

OBJECTIVES: Accurate detection of breast lesion type is crucial for optimizing treatment; however, d...

Artificial intelligence chatbots for atopic dermatitis: Accuracy, readability, and concordance with American Academy of Dermatology guidelines.

From variant of unknown significance to actionable diagnosis: Stepwise interpretation of a novel KRT2 variant in superficial epidermolytic ichthyosis with excellent retinoid response.

Machine Learning Model for an App-Based Tool to Assist With the Diagnosis of Canine Atopic Dermatitis.

BACKGROUND: Canine atopic dermatitis (cAD) is a chronic condition requiring life-long management. Ac...

MicroRNA biomarkers in psoriasis.

Psoriasis, a T-helper mediated chronic inflammatory autoimmune skin disease, has significant socioec...

FairDITA: Disentangled Image-Text Alignment for Fair Skin Cancer Diagnosis.

Recent advances in deep learning have significantly improved skin cancer classification, yet concern...

Cascading size-dependent deep propagation (CADP): Addressing over-smoothing in graph few-shot dermatology classification.

Graphs play a critical role in capturing complex data relationships, particularly in few-shot learni...

Localizing Knee Pain via Explainable Bayesian Generative Models and Counterfactual MRI: Data from the Osteoarthritis Initiative.

Osteoarthritis (OA) pain often does not correlate with magnetic resonance imaging (MRI)-detected str...

Exploiting Cross-modal Collaboration and Discrepancy for Semi-supervised Ischemic Stroke Lesion Segmentation from Multi-sequence MRI Images.

Accurate ischemic stroke lesion segmentation is useful to define the optimal reperfusion treatment a...

MKLNID: Identifying Melanoma-related Pathogenic Genes Through Multiple Kernel Learning and Network Impulsive Dynamics.

Melanoma is a highly malignant skin cancer, and identifying its pathogenic genes is crucial for unde...

A Metabolism-Driven Prognostic Model and PSMD14-SP1-GYS1 Axis Reveal Therapeutic Vulnerabilities in Melanoma.

Melanoma is a highly aggressive cutaneous malignancy characterized by a strong propensity for metast...

Lifestyle-associated serum metabolites profiling in relation to risk of late-onset psoriasis.

BACKGROUND: Although healthy lifestyle behaviours are associated with a lower risk of psoriasis, the...

Artificial intelligence-assisted assessment of metabolic response to tebentafusp in metastatic uveal melanoma: a long axial field-of-view [18F]FDG PET/CT study.

PURPOSE: Tebentafusp has emerged as the first systemic therapy to significantly prolong survival in ...

Discovery of natural RORγt inhibitor using machine learning, virtual screening, and in vivo validation.

INTRODUCTION: Retinoic acid receptor-related orphan receptor gamma t (RORγt) is a crucial transcript...

A deep learning-clinical nomogram hybrid for predicting sentinel lymph node metastasis in melanoma.

BACKGROUND: Melanoma is a life-threatening skin malignancy, with sentinel lymph node metastasis (SLN...

Detection of Jaw Lesions on Panoramic Radiographs Using Deep Learning Method.

This study aimed to evaluate and compare the performance of state-of-the-art deep learning models fo...

Skin cancer segmentation and recognition from dermoscopy images: a novel framework based on improved DeepLabV3+ and network-level fused deep architectures.

INTRODUCTION: Skin lesion segmentation and classification is an active research area in medical imag...