Dermatology

Psoriasis

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

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Dermatology Subcategories: Atopy Psoriasis
Showing 148-168 of 2,098 articles
Pediatric Psoriasis Associated with Van Wyk Grumbach Syndrome: A case report.

INTRODUCTION: Psoriasis is a common chronic inflammatory condition, often beginning in childhood in ...

Assessing the accuracy and completeness of artificial intelligence language models in providing information on methotrexate use.

We aimed to assess Large Language Models (LLMs)-ChatGPT 3.5-4, BARD, and Bing-in their accuracy and ...

Artificial intelligence in psoriasis: Where we are and where we are going.

Artificial intelligence (AI) is a field of computer science that involves the development of program...

AI-dente: an open machine learning based tool to interpret nano-indentation data of soft tissues and materials.

Nano-indentation is a promising method to identify the constitutive parameters of soft materials, in...

Natural language processing of online support group postings reveals patients' perspectives on strategies for managing psoriasis.

Psoriasis is a chronic skin disorder, and patients encounter high physical and psychosocial burdens....

Using Deep Learning Models to Predict Prosthetic Ankle Torque.

Inverse dynamics from motion capture is the most common technique for acquiring biomechanical kineti...

Synergistic Integration of Deep Neural Networks and Finite Element Method with Applications of Nonlinear Large Deformation Biomechanics.

Patient-specific finite element analysis (FEA) holds great promise in advancing the prognosis of car...

Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection.

This study presents an enhanced deep learning approach for the accurate detection of eczema and psor...

Thermal Time Constant CNN-Based Spectrometry for Biomedical Applications.

This paper presents a novel method based on a convolutional neural network to recover thermal time c...

Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs.

Cycling of biologic or targeted synthetic disease modifying antirheumatic drugs (b/tsDMARDs) in rheu...

An end-to-end deep learning method for protein side-chain packing and inverse folding.

Protein side-chain packing (PSCP), the task of determining amino acid side-chain conformations given...

Machine and deep learning in inflammatory bowel disease.

PURPOSE OF REVIEW: The Management of inflammatory bowel disease (IBD) has evolved with the introduct...

Physics-Informed Deep-Learning For Elasticity: Forward, Inverse, and Mixed Problems.

Elastography is a medical imaging technique used to measure the elasticity of tissues by comparing u...

Current developments and perspectives in psoriasis.

The study of psoriasis has yielded fundamental new insights into immunologic regulation and innovati...

Phase Contrast Image Restoration by Formulating Its Imaging Principle and Reversing the Formulation With Deep Neural Networks.

Phase contrast microscopy, as a noninvasive imaging technique, has been widely used to monitor the b...

DeepNAPSI multi-reader nail psoriasis prediction using deep learning.

Nail psoriasis occurs in about every second psoriasis patient. Both, finger and toe nails can be aff...

A Deep Learning Model for 3D Ground Reaction Force Estimation Using Shoes with Three Uniaxial Load Cells.

Ground reaction force (GRF) is essential for estimating muscle strength and joint torque in inverse ...

A Concurrent Framework for Constrained Inverse Kinematics of Minimally Invasive Surgical Robots.

Minimally invasive surgery has undergone significant advancements in recent years, transforming vari...

Artificial Intelligence-Based Psoriasis Severity Assessment: Real-world Study and Application.

BACKGROUND: Psoriasis is one of the most frequent inflammatory skin conditions and could be treated ...

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