Latest AI and machine learning research in dermatology for healthcare professionals.
BACKGROUND: Accurate assessment of human epidermal growth factor receptor 2 (HER2) expression is ess...
BACKGROUND: Although post-translational modifications (PTMs) significantly influence the pathogenesi...
Alopecia is a common dermatologic disorder with psychological and quality-of-life impact. Current op...
Inherited genetic variation can weaken the ability of the immune system to detect and eliminate mali...
BACKGROUND AND AIMS: Artificial intelligence (AI) has been widely used in endoscopic diagnosis; howe...
Immune checkpoint inhibitors (ICIs) represent a class of novel anticancer agents that enhance T cell...
BACKGROUND: Epidermal growth factor receptor (EGFR) inhibitors and other targeted therapies frequent...
Purpose To develop a deep learning-enabled single breath-hold abbreviated MRI (DL-SBH-aMRI) protocol...
Esophageal cancer is a highly aggressive malignancy where early detection is critical for survival. ...
BACKGROUND: Melanoma is the fifth most common cancer in the USA and the UK, with global incidence on...
RATIONALE AND OBJECTIVES: To evaluate whether intratumoral habitats and peritumoral regions on ultra...
Chronic inflammatory skin diseases (CISDs) such as psoriasis (PsO), atopic dermatitis (AD), and hidr...
BACKGROUND/AIMS: Human epidermal growth factor receptor 2 (HER2) overexpression is a critical therap...
BACKGROUND: Artificial intelligence can standardize periapical assessment, but few studies map pixel...
BACKGROUND: Artificial intelligence (AI) has significant potential to improve dermatological care, b...
Endometriosis is characterized by progressive fibrosis and limited therapeutic options. Cuproptosis,...
We introduce Longitudinal-CT, a publicly available resource of whole-body computed tomography (CT) s...
Skin cancer is one of the most prevalent and potentially life-threatening cancers globally, making i...
This study aimed to evaluate the potential role of artificial intelligence (AI) as a diagnostic supp...
OBJECTIVE: Radiogenomics aims to non-invasively predict tumour genotypes from imaging, but most stud...
RATIONALE AND OBJECTIVES: To qualitatively and quantitatively compare image quality, edge sharpness,...