Dermatology

Evaluating Artificial Intelligence-Assisted Prostate Biparametric MRI Interpretation: An International Multireader Study.

Variability in prostate biparametric MRI (bpMRI) interpretation limits diagnostic reliability for p...

Predictors of Flares and Disease Severity in Patients With Atopic Dermatitis Using Machine Learning.

IMPORTANCE: The disease course of atopic dermatitis (AD) is characterized by fluctuations and freque...

AI-generated dermatologic images show deficient skin tone diversity and poor diagnostic accuracy: An experimental study.

BACKGROUND: Generative AI models are increasingly used in dermatology, yet biases in training datase...

An Adaptive Generative 3D VNet Model for Enhanced Monkeypox Lesion Classification Using Deep Learning and Augmented Image Fusion.

As monkeypox is spreading rapidly, the incidence of monkeypox has been increasing in recent times. T...

Classification of Renal Lesions by Leveraging Hybrid Features from CT Images Using Machine Learning Techniques.

Renal cancer is amid the several reasons of increasing mortality rates globally, which can be reduce...

Development and validation of a prognostic model for predicting survival and immunotherapy benefits in melanoma based on metabolism-relevant genes.

Skin cutaneous melanoma (SKCM) is a fatal form of skin cancer. Metabolism-related genes (MRGs) compr...

Exploring The Role of Artificial Intelligence in Skin Cancer Management: Perspectives from UK Dermatologists.

Effect of data-driven motion correction for respiratory movement on lesion detectability in PET-CT: a phantom study.

PURPOSE: While data-driven motion correction (DDMC) techniques have proven to enhance the visibility...

SLC3A2 as a key anoikis-related gene for prognosis and tumor microenvironment remodeling in melanoma.

OBJECTIVE: Anoikis, a form of programmed cell death triggered by detachment from the extracellular m...

USP5-Mediated PD-L1 deubiquitination regulates immunotherapy efficacy in melanoma.

BACKGROUND: The role of post-translational modifications(PTMs) in PD-L1-mediated immune resistance a...

Enhanced melanoma and non-melanoma skin cancer classification using a hybrid LSTM-CNN model.

Melanoma is the most dangerous type of skin cancer. Although it accounts for only about 1% of all sk...

PediMS: A Pediatric Multiple Sclerosis Lesion Segmentation Dataset.

Multiple Sclerosis (MS) is a chronic autoimmune disease that primarily affects the central nervous s...

Identification of neural crest and melanoma cancer cell invasion and migration genes using high-throughput screening and deep attention networks.

BACKGROUND: Cell migration and invasion are well-coordinated in development and disease but remain p...

Improved prediction of MAPKi response duration in melanoma patients using genomic data and machine learning.

Baseline genomic data have not demonstrated significant value for predicting the response duration t...

Enhanced detection of Mpox using federated learning with hybrid ResNet-ViT and adaptive attention mechanisms.

Monkeypox (Mpox), caused by the monkeypox virus, has become a global concern due to its rising cases...

A Deep Learning Model for Comprehensive Automated Bone Lesion Detection and Classification on Staging Computed Tomography Scans.

RATIONALE AND OBJECTIVES: A common site of metastases for a variety of cancers is the bone, which is...

Explainable deep learning approaches for high precision early melanoma detection using dermoscopic images.

Detecting skin melanoma in the early stage using dermoscopic images presents a complex challenge due...

Assessing changes in whole-brain structural connectivity in the unilateral 6-hydroxydopamine rat model of Parkinson's disease using diffusion imaging and tractography.

Parkinson's disease (PD) is a multifactorial, progressive neurodegenerative disease that has a profo...

Deep Learning Multi Modal Melanoma Detection: Algorithm Development and Validation.

BACKGROUND: The visual similarity of melanoma and seborrheic keratosis has made it difficult for eld...

Can Whole-Thyroid-Based CT Radiomics Model Achieve the Performance of Lesion-Based Model in Predicting the Thyroid Nodules Malignancy? - A Comparative Study.

Machine learning is now extensively implemented in medical imaging for preoperative risk stratificat...

Diagnosis of psoriasis and lichen planus in real-time using neural networks based on skin Biomechanical properties obtained from numerical simulation.

Due to their similar clinical presentations, the scarcity of competent dermatologists, and the urgen...