Latest AI and machine learning research in dermatology for healthcare professionals.
D-amino acid substitution provides an effective strategy for optimizing antimicrobial peptides (AMPs...
The rapid development of multimodal large language models (LLMs) such as GPT and Med-PaLM is reshapi...
BACKGROUND: The aim of this study was to identify and validate clinically meaningful predictors of l...
PURPOSE: This study aims to develop an artificial intelligence (AI) model to assist ophthalmologists...
OBJECTIVE: Large Language Models (LLMs) are increasingly applied to patient education, yet their per...
Psoriasis impacts nearly 100 million people globally and is associated with neuropsychiatric comorbi...
BACKGROUND: Artificial intelligence (AI) is playing an increasingly important role in nursing care, ...
RNA therapeutics have come of age as clinically validated modalities including mRNA, siRNA, antisens...
Melanoma, an aggressive form of skin cancer, demands innovative immunotherapeutic strategies to impr...
OBJECTIVES: To assess the 1-year natural history of liver imaging reporting and data system (LI-RADS...
Ultraviolet (UV) radiation is the primary risk factor for the development of both melanocytic and no...
BACKGROUND: Artificial intelligence (AI)-based predictive systems generate heat maps that highlight ...
Despite notable advances in deep learning, accurately segmenting lung lesions in computed tomography...
PURPOSE: This study aims to evaluate whether quantitative imaging features analyzed by an artificial...
Cognitive impairment arising from ischemic stroke, Alzheimer's disease, and Parkinson's disease pres...
OBJECTIVE: To determine whether software-based de-filtering can restore the quantitative accuracy of...
Conventional skin imaging modalities are often bulky, expensive, and impractical for routine dermato...
INTRODUCTION: Accurately identifying unfavorable outcomes is crucial for the clinical management of ...
Atopic dermatitis (AD) is a common chronic inflammatory skin disease with diverse clinical phenotype...
OBJECTIVE: Estimating early lesion progression in ischemic stroke is essential for assessing thrombo...