Dermatology

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

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Subcategories: Atopy Psoriasis
Showing 2479-2499 of 4,172 articles
Design of Allosteric Inhibitors for Mutant EGFR by Combined use of Machine Learning and Molecular Dynamics Simulations

The non-small cell lung cancer (NSCLC)-associated Epidermal Growth Factor Receptor (EGFR) mutant L85...

Biologically Inspired Digital Histology for Deep Phenotyping of Placental Composition Changes Across Major Lesion Types

Placenta pathology provides diagnostic insights for understanding pregnancy complications and guides...

scE2TM improves single-cell embedding interpretability and reveals cellular perturbation signatures

Single-cell RNA sequencing technologies have revolutionized our understanding of cellular heterogene...

Cellular interactions in the sentinel lymph node predict melanoma recurrence

Melanoma outcomes have dramatically improved over the past decade, but some patients still experienc...

Exploiting pair correlation function to describe biological tissue structure

Multiplexed imaging technologies now enable the simultaneous profiling of hundreds to thousands of m...

Evaluating the Diagnostic and Treatment Recommendation Capabilities of GPT-4 Vision in Dermatology

The integration of artificial intelligence (AI) in dermatology presents a promising frontier for enh...

Automatic segmentation of spinal cord lesions in MS: A robust tool for axial T2-weighted MRI scans

Deep learning models have achieved remarkable success in segmenting brain white matter lesions in mu...

Multi-resolution vision transformer model for skin cancer subtype classification using histopathology slides

Digital pathology has significantly advanced cancer diagnosis by enabling high-resolution visualisat...

Integration of CA attention and KAN algorithm to predict EGFR mutation status in lung cancer

Epidermal Growth Factor Receptor (EGFR) mutations are critical biomarkers for targeted therapies in ...

Dynamic AI-assisted Ipsilateral Tissue Matching for Digital Breast Tomosynthesis

To compare Digital Breast Tomosynthesis (DBT) tissue matching errors with and without artificial int...

Predicting Prostate Cancer Without a Prostate: A Potential Problem with AI

Machine learning (ML) algorithms have demonstrated great potential for the identification and classi...

Proteome-wide autoantibody screening and holistic autoantigenomic analysis unveil COVID-19 signature of autoantibody landscape

This study presents “aUToAntiBody Comprehensive Database (UT-ABCD)”, a comprehensive catalog of auto...

Behavioral Clusters and Lesion Distributions in Ischemic Stroke, based on NIHSS Similarity Network

Stroke is a leading cause of death and disability. The subsequent dysfunctions relate to brain lesio...

Transformers in Skin Lesion Classification and Diagnosis: A Systematic Review

This systematic review aims to provide a comprehensive overview of the current state of research on ...

Artificial Intelligence-based Diagnosis of Kaposi Sarcoma using Photographs in Dark-skinned Patients

Advanced-stage disease at the time of diagnosis, with resultant high mortality, is among the most ur...

Independent Evaluation of Deep Learning Models for Detecting Focal Cortical Dysplasia

The objective of this study is to perform an independent assessment of the diagnostic utility of thr...

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