Dermatology

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

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Subcategories: Atopy Psoriasis
Showing 148-168 of 3,936 articles
Deep learning predicts HER2 status in invasive breast cancer from multimodal ultrasound and MRI.

The preoperative human epidermal growth factor receptor type 2 (HER2) status of breast cancer is typ...

Applications, Ethical Considerations, and Patient Perspectives on Artificial Intelligence in Dermatologic Surgery: Focus on Mohs Surgery.

BACKGROUND: Artificial intelligence (AI) is increasingly used in health care and has the potential t...

Comparison of Manual Versus QuPath Software-based Immunohistochemical Scoring Using Oral Squamous Cell Carcinoma as a Model.

Gold standard for immunohistochemical analyses is the manual assessment by two specialist pathologis...

Updated Techniques for Melanoma Diagnosis.

Melanoma, an aggressive skin cancer, requires timely diagnostics for improved patient outcomes. The ...

Therapeutic effect of systemic use of glatiramer acetate in imiquimod-induced mouse psoriasis model.

PURPOSE: The aim of this study is to evaluate the therapeutic potential of systemic glatiramer aceta...

Isolation and characterization of a bioactive compound from Sphingomonas sanguinis DM with cytotoxic and molecular docking analysis.

Datura metel, a common plant in the Solanaceae family, is known for its valuable medicinal propertie...

Artificial Intelligence Performs Well for Patient-Level Education of Benign Anorectal Conditions.

BackgroundChatGPT, the most widely recognized AI chatbot, has been increasingly utilized by patients...

Evaluating the Diagnostic and Treatment Capabilities of GPT-4 Vision in Dermatology: A Pilot Study.

BACKGROUND: The integration of generative artificial intelligence within dermatology presents a new ...

A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading.

As the most common complication of diabetes, diabetic retinopathy (DR) is one of the main causes of ...

An attention based hybrid approach using CNN and BiLSTM for improved skin lesion classification.

Skin lesions remain a significant global health issue, with their incidence rising steadily over the...

Synthetic medical education in dermatology leveraging generative artificial intelligence.

The advent of large language models (LLMs) represents an enormous opportunity to revolutionize medic...

Optimizing stroke lesion segmentation: A dual-approach using Gaussian mixture models and nnU-Net.

Machine learning-based stroke lesion segmentation models are widely used in biomedical imaging, but ...

Video-Based Multiphysiological Disentanglement and Remote Robust Estimation for Respiration.

Remote noncontact respiratory rate estimation by facial visual information has great research signif...

Global burden of non-melanoma skin cancers among older adults: a comprehensive analysis using machine learning approaches.

Non-melanoma skin cancers (NMSCs), including basal cell carcinoma (BCC) and squamous cell carcinoma ...

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