Dermatology

UNIK (Urologic Non-Neoplastic Investigation of Kidneys): a machine learning approach to decode benign lesion.

PURPOSE: Predicting the likelihood of benign neoplasia in patients with suspected renal cell carcino...

Enhancing Lesion Detection in Inflammatory Myelopathies: A Deep Learning-Reconstructed Double Inversion Recovery MRI Approach.

BACKGROUND AND PURPOSE: The imaging of inflammatory myelopathies has advanced significantly across t...

Artificial Intelligence in Patch Testing: Comprehensive Review of Current Applications and Future Prospects in Dermatology.

BACKGROUND: The integration of artificial intelligence (AI) into patch testing for allergic contact ...

Closing the AI generalisation gap by adjusting for dermatology condition distribution differences across clinical settings.

BACKGROUND: Generalisation of artificial intelligence (AI) models to a new setting is challenging. I...

Skin cancer segmentation and classification by implementing a hybrid FrCN-(U-NeT) technique with machine learning.

Skin cancer is a severe and rapidly advancing condition that can be impacted by multiple factors, in...

Molecular insights into the unique activation and allosteric modulation mechanisms of the human mas-related G-protein-coupled receptor X1.

MRGPRX1 plays dual roles in mediating nociception and pruritus, making it a promising target for all...

Self-supervised brain lesion generation for effective data augmentation of medical images.

Accurate brain lesion delineation is important for planning neurosurgical treatment. Automatic brain...

Integrated Single-Cell and Bulk RNA Sequencing Analysis Identifies a Regulated Cell Death-Related Gene Signature for Predicting Prognosis and Therapeutic Responses in Cutaneous Melanoma.

Regulated cell death (RCD) is crucial for the advancement of cancers, and providing opportunities as...

Comparison of an Attention-Based Multiple Instance Learning (MIL) With a Visual Transformer Model: Two Weakly Supervised Deep Learning (DL) Algorithms for the Detection of Histopathologic Lesions in the Rat Liver to Distinguish Normal From Abnormal.

The histopathologic evaluation of regulatory toxicity studies using artificial intelligence (AI) has...

Benchmarking machine learning models in lesion-symptom mapping for predicting language outcomes in stroke survivors.

Several decades of research have investigated the neural connections between stroke-induced brain da...

Dual-Phase Severity Grading of Strawberry Angular Leaf Spot Based on Improved YOLOv11 and OpenCV.

-induced angular leaf spot causes substantial economic losses in global strawberry production, neces...

Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy.

: Serum diagnostic tests for alopecia areata may be used to monitor response to treatment, aiding in...

Optimizing Artificial Intelligence Thresholds for Mammographic Lesion Detection: A Retrospective Study on Diagnostic Performance and Radiologist-Artificial Intelligence Discordance.

Artificial intelligence (AI)-based systems are increasingly being used to assist radiologists in de...

Machine learning prediction for early-stage melanoma outcomes: recurrence-free survival, disease-specific survival, and overall survival.

This study compared machine-learning models for predicting recurrence-free survival (RFS), disease-s...

Spatial discovery of pyrotinib overcoming HER2-positive breast cancer resistance by breaking fibroblast-induced immune barriers.

BACKGROUND: The TCbHP regimen, consisting of combining docetaxel (T), carboplatin (Cb), trastuzumab ...

Non-invasive diagnosis of melanoma using machine learning and reflectance confocal microscopy.

Glaucoformer: Dual-domain Global Transformer Network for Generalized Glaucoma Stage Classification.

Classification of glaucoma stages remains challenging due to substantial inter-stage similarities, t...

Machine Learning Enabled Reusable Adhesion, Entangled Network-Based Hydrogel for Long-Term, High-Fidelity EEG Recording and Attention Assessment.

Due to their high mechanical compliance and excellent biocompatibility, conductive hydrogels exhibit...

Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis.

Multiple sclerosis (MS) is a chronic inflammatory disease characterized by demyelinating lesions in ...

Gastrointestinal microbiota and inflammasomes interplay in health and disease: a gut feeling.

The intricate interplay between the gut microbiota and the GI tract has garnered significant attenti...

Comparative Evaluation of ChatGPT and ChatGLM Performance in Response to Common Queries on Pediatric Atopic Dermatitis.

BACKGROUND: Atopic dermatitis (AD) is a prevalent chronic and recurrent skin condition in children. ...