Dermatology

Dental Odontogenic Lesion CBCT and Histopathology Integrated Dataset for Benchmarking Deep Learning Algorithms.

Accurate diagnosis of odontogenic lesions requires pre-operative cone-beam computed tomography (CBCT...

Novel two-stage deep learning framework for automated pressure injury classification.

OBJECTIVE: The study aims to develop an artificial intelligence (AI) framework for automatic pressur...

Multimodal CT Perfusion-Based Deep Learning for Predicting Stroke Lesion Outcomes in Complete and No Recanalization Scenarios.

BACKGROUND AND PURPOSE: Predicting the final location and volume of lesions in acute ischemic stroke...

GIS-based neural network framework for zoonotic cutaneous leishmaniasis risk mapping in Western Iran.

This study presents a Geospatial Artificial Intelligence (GeoAI) framework for high-resolution Zoono...

Distinctive DNA sequence features define epigenetic longevity of inflammatory memory.

Tissues harbor memories of inflammation, which heighten sensitivity to diverse future assaults. Whet...

Quality, Empathy, and Readability of AI Chatbot Responses to the Survivorship Needs of Adolescents and Young Adults With Melanoma: Evaluation Study.

BACKGROUND: Melanoma, a highly aggressive form of skin cancer, is the second most common type of can...

Bone Metastasis Detection at CT with Deep Learning Models Trained Using Multicenter, Multimodal Reference Standards: Development and Evaluation.

Purpose To develop and validate deep learning models for detecting bone metastases on abdominal and ...

Prospective Evidence on Artificial Intelligence-Assisted Melanoma Diagnostics: A Systematic Review and Meta-Analysis.

IMPORTANCE: Dermoscopy is a standard of care for melanoma diagnostics, and artificial intelligence (...

Ti3C2/CuCoSe2 p-n Heterojunction: Preparation and Mechanism for Machine Learning-enhanced Electrochemical Sensing of Rutin.

Rutin is widely employed as a therapeutic agent, but excessive intake may induce adverse reactions s...

Artificial Intelligence-Driven Segmentation of Three Oral Diseases: Enabling Precision Diagnosis and Decision Support.

INTRODUCTION: The advancement of AI-assisted oral disease diagnosis critically relies on the availab...

Clinical priors-inspired privileged knowledge distillation for reliable pancreatic lesion classification.

Accurate classification of pancreatic lesions is critical for guiding treatment decisions, with comp...

Microneedle-based theranostics for melanoma: Advances and outlook.

Melanoma represents a highly aggressive malignancy that poses persistent challenges for clinical dia...

The evolution of T1-weighted lesion inpainting tools in patients with brain injury: A scoping review.

Focal brain lesions from Acquired Brain Injuries (ABIs) present as regions of abnormal signal intens...

An interpretable machine learning model for early risk stratification of medium-to-giant coronary artery aneurysm in Kawasaki disease: development and external validation.

BACKGROUND: Medium-to-giant coronary artery aneurysm (MGCAA) represents the most severe complication...

Artificial intelligence in atopic dermatitis: Current applications and future perspectives.

Atopic dermatitis (AD) is a prevalent and burdensome chronic skin disease, with profound effects on ...

Q-CaDD: accelerating in silico methodologies with quantum computation and machine learning for Epidermal growth factor receptor.

Integrating bioinformatics, machine learning and molecular biology to elucidate the anti-allergic mechanisms of ginkgo biloba leaves.

Allergic diseases, encompassing allergic asthma, atopic dermatitis, food allergies, have emerged as ...

Machine Learning Predicts Adequacy of Rapid On-site Evaluation in Fine Needle Aspirations in Lung Cancer Cytology.

Lung cancer is projected to become the leading cause of cancer-related mortality in both smoking and...

Biophysical properties and phenotypes of cell clusters detached from Staphylococcus epidermidis biofilms after matrix-targeted disruption.

Bacterial cells detached from Staphylococcus epidermidis biofilms are found to release predominantly...

Bulliform cells: anatomical, physiological, genetic, and computational perspectives on plants' drought adaptation.

This work highlights pollen thermotolerance as vital for reproductive success under heat stress, int...

Multimodal models for skin cancer classification using clinical freetext and dermatoscopic images.

BACKGROUND: Skin cancer is one of the most prevalent cancers globally, with early detection critical...