Dermatology

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

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Showing 1828-1848 of 3,979 articles
Discovery of New HER2 Inhibitors via Computational Docking, Pharmacophore Modeling, and Machine Learning.

The human epidermal growth factor receptor 2 (HER2) is a critical oncogene implicated in the develop...

Validation of a Deep Learning-Based Method for Accelerating Susceptibility-Weighted Imaging in Clinical Settings.

Susceptibility-weighted imaging (SWI) has been widely used in clinical contexts, in which the speed ...

Artificial intelligence in dermatopathology: a systematic review.

Medical research, driven by advancing technologies like artificial intelligence (AI), is transformin...

Advances in computer vision and deep learning-facilitated early detection of melanoma.

Melanoma is characterized by its rapid progression and high mortality rates, making early and accura...

3D Bioprinting Skin Equivalents: A Methodological Perspective on Human Keratinocyte and Fibroblast Models for Wound Repair and Regeneration.

Three-dimensional (3D) bioprinting is a promising approach to developing reliable tissue substitutes...

Deep learning reconstruction of free-breathing, diffusion-weighted imaging of the liver: A comparison with conventional free-breathing acquisition.

This study aimed to compare image quality and solid focal liver lesion (FLL) assessments between fre...

Bioinformatics meets machine learning: identifying circulating biomarkers for vitiligo across blood and tissues.

BACKGROUND: Vitiligo is a skin disorder characterized by the progressive loss of pigmentation in the...

Personalized prediction of breast cancer candidates for Anti-HER2 therapy using F-FDG PET/CT parameters and machine learning: a dual-center study.

BACKGROUND: Accurately evaluating human epidermal growth factor receptor (HER2) expression status in...

Exploration in association between vitamin D and cutaneous melanoma and explainable machine learning prediction.

OBJECTIVE: This study aims to examine association between vitamin D with melanoma and develop an exp...

Subject-Based Transfer Learning in Longitudinal Multiple Sclerosis Lesion Segmentation.

BACKGROUND AND PURPOSE: Accurate and consistent lesion segmentation from magnetic resonance imaging ...

Diagnostic Power of MicroRNAs in Melanoma: Integrating Machine Learning for Enhanced Accuracy and Pathway Analysis.

This study identifies microRNAs (miRNAs) with significant discriminatory power in distinguishing mel...

Deep Learning Applied to Diffusion-weighted Imaging for Differentiating Malignant from Benign Breast Tumors without Lesion Segmentation.

Purpose To evaluate and compare the performance of different artificial intelligence (AI) models in ...

SCIseg: Automatic Segmentation of Intramedullary Lesions in Spinal Cord Injury on T2-weighted MRI Scans.

Purpose To develop a deep learning tool for the automatic segmentation of the spinal cord and intram...

Assessing diagnostic performance for common skin diseases using an AI-assisted tele-expertise platform: a proof of concept.

Advancements in machine learning (ML) are making artificial intelligence more feasible in dermatolog...

Hybrid of Deep Feature Extraction and Machine Learning Ensembles for Imbalanced Skin Cancer Datasets.

Skin cancer remains one of the most common and deadly forms of cancer, necessitating accurate and ea...

Machine learning-enabled computer vision for plant phenotyping: a primer on AI/ML and a case study on stomatal patterning.

Artificial intelligence and machine learning (AI/ML) can be used to automatically analyze large imag...

Physician Opinions on Artificial Intelligence Chatbots In Dermatology: A National Online Cross-Sectional Survey of Dermatologists.

BACKGROUND: Artificial intelligence chatbots (AIC) have sharply risen in popularity. Dermatology, he...

Boosting Deep Learning for Interpretable Brain MRI Lesion Detection through the Integration of Radiology Report Information.

Purpose To guide the attention of a deep learning (DL) model toward MRI characteristics of brain les...

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