Dermatology

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

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Subcategories: Atopy Psoriasis
Showing 337-357 of 3,936 articles
Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks.

In recent years, interest in applying deep learning (DL) to medical diagnosis has rapidly increased,...

Optimizing adult-oriented artificial intelligence for pediatric chest radiographs by adjusting operating points.

The purpose of this study was to evaluate whether the optimal operating points of adult-oriented art...

A wrapper method for finding optimal subset of multimodal Magnetic Resonance Imaging sequences for ischemic stroke lesion segmentation.

Multimodal data, while being information-rich, contains complementary as well as redundant informati...

Single-Cell Sequencing and Machine Learning Integration to Identify Candidate Biomarkers in Psoriasis: .

BACKGROUND: Psoriasis represents a persistent, immune-driven inflammatory condition affecting the sk...

Enhanced Detection of Leishmania Parasites in Microscopic Images Using Machine Learning Models.

Cutaneous leishmaniasis is a parasitic disease that poses significant diagnostic challenges due to t...

Artificial intelligence in pediatric allergy research.

UNLABELLED: Atopic dermatitis, food allergy, allergic rhinitis, and asthma are among the most common...

A deep learning framework deploying segment anything to detect pan-cancer mitotic figures from haematoxylin and eosin-stained slides.

Mitotic activity is an important feature for grading several cancer types. However, counting mitotic...

Psoriasis severity assessment: Optimizing diagnostic models with deep learning.

Psoriasis is a chronic skin condition with challenges in the accurate assessment of its severity due...

Detection of Vitiligo Through Machine Learning and Computer-Aided Techniques: A Systematic Review.

Vitiligo is a chronic skin damage disease, triggered by differential melanocyte death. Vitiligo (0....

The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study.

BACKGROUND: Thus far, considerable research has been focused on classifying a lesion as benign or ma...

Combination Therapy with Baricitinib and Narrowband Ultraviolet B for Active Non-Segmental Vitiligo: A Retrospective Controlled Study.

BACKGROUND: Vitiligo is a chronic autoimmune disease manifested by depigmented patches of skin devoi...

Effect of the Ultrasound-Guided Interscalene and Supraclavicular Blocks on the C4 Dermatome.

PURPOSE: The C4 dermatome anesthesia holds significance for arthroscopic shoulder surgery. However, ...

Potential shared mechanisms in atopic dermatitis and type 2 diabetes identified via transcriptomic and machine learning approaches.

Although atopic dermatitis (AD) and type 2 diabetes mellitus (T2DM) may appear clinically and pathop...

IL-27 as a novel biomarker for pruritus in nodular prurigo and bullous pemphigoid.

INTRODUCTION: Bullous pemphigoid (BP) and prurigo nodularis (PN) are chronic pruritic skin diseases ...

Utilizing AI for the Identification and Validation of Novel Therapeutic Targets and Repurposed Drugs for Endometriosis.

Endometriosis affects over 190 million women globally, and effective therapies are urgently needed t...

BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI.

Development of artificial intelligence (AI) for medical imaging demands curation and cleaning of lar...

A novel AI model for detecting periapical lesion on CBCT: CBCT-SAM.

OBJECTIVES: Periapical lesions are not always evident on radiographic scans. Sometimes, asymptomatic...

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