Dermatology

MSTNet: Multi-scale spatial-aware transformer with multi-instance learning for diabetic retinopathy classification.

Diabetic retinopathy (DR), the leading cause of vision loss among diabetic adults worldwide, undersc...

Deep structured learning with vision intelligence for oral carcinoma lesion segmentation and classification using medical imaging.

Oral carcinoma (OC) is a toxic illness among the most general malignant cancers globally, and it has...

A new era of psoriasis treatment: Drug repurposing through the lens of nanotechnology and machine learning.

Psoriasis is a persistent inflammatory skin disorder characterized by hyper-proliferation and abnorm...

Evaluating Dermatological Diagnostic Accuracy and Consistency in Multimodal Large Language Models Across Skin Types.

Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.

BACKGROUND: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but...

Artificial intelligence and different image modalities in uveal melanoma diagnosis and prognosis: A narrative review.

BACKGROUND: The most widespread primary intraocular tumor in adults is called uveal melanoma (UM), i...

A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification.

Skin cancer is frequently occurring and has become a major contributor to both cancer incidence and ...

Multimodal deep learning fusion of ultrafast-DCE MRI and clinical information for breast lesion classification.

BACKGROUND: Breast cancer is the most common cancer worldwide, and magnetic resonance imaging (MRI) ...

Artificial intelligence in the diagnosis of uveal melanoma: advances and applications.

Advancements in machine learning and deep learning have the potential to revolutionize the diagnosis...

T-ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein-Ligand Binding Affinity Prediction with Uncertainty-Aware Self-Learning for Protein-Specific Alignment.

There is significant interest in targeting disease-causing proteins with small molecule inhibitors t...

Thermo-responsive and phase-separated hydrogels for cardiac arrhythmia diagnosis with deep learning algorithms.

Adhesive epidermal hydrogel electrodes are essential for achieving robust signal transduction and ca...

Integrated Analysis of Proteomic and Dermoscopy Imaging Data Improves Noninvasive Classification of Benign Nevi and Melanoma.

Spherical lesion formation in HIFU using robotic assistance for controlled focal point manipulation.

We propose a robot-assisted method to generate spherical thermal lesions by high-intensity focused u...

A promising AI based super resolution image reconstruction technique for early diagnosis of skin cancer.

Skin cancer can be prevalent in people of any age group who are exposed to ultraviolet (UV) radiatio...

Automatic Joint Lesion Detection by enhancing local feature interaction.

Recently, deep learning models have demonstrated impressive performance in Automatic Joint Lesion De...

A robust deep learning framework for multiclass skin cancer classification.

Skin cancer represents a significant global health concern, where early and precise diagnosis plays ...

Using Facial Skin Artificial Intelligence (AI) to Capture Atopic Dermatitis Patients' Response to Therapy: A Single-Center Prospective Study.

Artificial Intelligence in the Exploration and Treatment of Itch/Pruritus.

Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model.

Skin cancer is a prevalent health concern, and accurate segmentation of skin lesions is crucial for ...

An assessment of breast cancer HER2, ER, and PR expressions based on mammography using deep learning with convolutional neural networks.

Mammography is the recommended imaging modality for breast cancer screening. Expressions of human ep...

Next-generation sequencing based deep learning model for prediction of HER2 status and response to HER2-targeted neoadjuvant chemotherapy.

INTRODUCTION: For patients with breast cancer, the amplification of Human Epidermal Growth Factor 2 ...