Dermatology

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

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Subcategories: Atopy Psoriasis
Showing 127-147 of 3,936 articles
Real-time fine finger motion decoding for transradial amputees with surface electromyography.

Advancements in human-machine interfaces (HMIs) are pivotal for enhancing rehabilitation technologie...

FieldDino: Rapid In-Field Stomatal Anatomy and Physiology Phenotyping.

Stomatal anatomy and physiology define CO availability for photosynthesis and regulate plant water u...

Generating dermatopathology reports from gigapixel whole slide images with HistoGPT.

Histopathology is the reference standard for diagnosing the presence and nature of many diseases, in...

A Narrative Review of Artificial Intelligence in MRI-Guided Prostate Cancer Diagnosis: Addressing Key Challenges.

: Magnetic resonance imaging (MRI) is crucial in detecting suspicious lesions and diagnosing clinica...

The Emerging Role of Computed Tomography Coronary Angiography in the Left Main Stem Percutaneous Coronary Intervention.

Recent advancements in computed tomography have significantly transformed the clinical application o...

Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks.

Skin cancer is one of the most prevalent malignant tumors, and early detection is crucial for patien...

Deep ensemble framework with Bayesian optimization for multi-lesion recognition in capsule endoscopy images.

In order to address the challenges posed by the large number of images acquired during wireless caps...

FLAMeS: A Robust Deep Learning Model for Automated Multiple Sclerosis Lesion Segmentation.

BACKGROUND AND PURPOSE: Assessment of brain lesions on MRI is crucial for research in multiple scler...

Large language models for dermatological image interpretation - a comparative study.

OBJECTIVES: Interpreting skin findings can be challenging for both laypersons and clinicians. Large ...

MRI-based habitat analysis for Intratumoral heterogeneity quantification combined with deep learning for HER2 status prediction in breast cancer.

BACKGROUND: Human epidermal growth factor receptor 2 (HER2) is a crucial determinant of breast cance...

Recent advancement in size measurement during endoscopy.

Accurate lesion size measurement is essential in endoscopic practice as it influences treatment stra...

Deep Learning-Based Multimodal Feature Interaction-Guided Fusion: Enhancing the Evaluation of EGFR in Advanced Lung Adenocarcinoma.

RATIONALE AND OBJECTIVES: The aim of this study is to develop a deep learning-based multimodal featu...

Understanding Dermatologists' Acceptance of Digital Health Interventions: Cross-Sectional Survey and Cluster Analysis.

BACKGROUND: Digital health interventions (DHIs) have the potential to enhance dermatological care by...

Machine learning-based fusion model for predicting HER2 expression in breast cancer by Sonazoid-enhanced ultrasound: a multicenter study.

PURPOSE: To predict human epidermal growth factor receptor 2 (HER2) expression in breast cancer (BC)...

A Bionic Textile Sensory System for Humanoid Robots Capable of Intelligent Texture Recognition.

Artificial tactile perception systems that emulate the functions of slow adaptive (SA) and fast adap...

Combining Clinical, Genetic and Protein Markers Using Machine Learning Models Discriminates Psoriatic Arthritis Patients From Those With Psoriasis.

BACKGROUND: Psoriatic Arthritis (PsA), an immune mediated inflammatory arthritis, affects a quarter ...

Semiautomated segmentation of breast tumor on automatic breast ultrasound image using a large-scale model with customized modules.

To verify the capability of the Segment Anything Model for medical images in 3D (SAM-Med3D), tailore...

Artificial Intelligence in Dermatology: A Comprehensive Review of Approved Applications, Clinical Implementation, and Future Directions.

This comprehensive review examines artificial intelligence (AI) applications in dermatology, approve...

Prognostic prediction model for Chinese uveal melanoma patients based on matrix metalloproteinase-2 and -28 expression levels in the tumor.

AIM: To explore the relationship between matrix metalloproteinases (MMPs) expression levels in the t...

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