Latest AI and machine learning research in dermatology for healthcare professionals.
Artificial intelligence (AI) is increasingly permeating healthcare, from serving as a physician assistant to powering consumer applications. The opacity of AI algorithms makes the ability of humans to interact with AI algorithms challenging. To overcome this limitation, explainable AI (XAI) provides insight into AI decision-making, but evidence suggests that XAI can paradoxically induce bias in th...
PURPOSE: This study aimed to evaluate the clinical value of deep learning image reconstruction (DLIR)-based dual-energy CT (DECT) in improving image quality for hepatocellular carcinoma (HCC). METHODS: This single-center retrospective analysis of a prospective cohort included patients enrolled between June 2024 and July 2025. Virtual monoenergetic images (VMI) at 40, 50, 60, and 74-keV (120 kVp-li...
INTRODUCTION: Accurate assessment of mitotic activity is an important component of melanoma prognostication but remains challenging due to interobserv...
Robotic technologies are increasingly being integrated into cosmetic dermatology; however, the scientific development of this field has not been compr...
INTRODUCTION: Periapical granulomas and radicular cysts cannot be reliably differentiated by clinical examination or conventional radiography. Histopa...
Epidermal growth factor receptor (EGFR) mutations are an oncogenic driver in non-small cell lung cancer (NSCLC), but resistance to EGFR tyrosine kinas...
OBJECTIVES: Breast cancer screening with mammography reduces mortality, but interpretation errors persist. While artificial intelligence (AI) shows pr...
INTRODUCTION: Atopic Dermatitis (AD) is a chronic inflammatory skin disease characterized by complex pathogenesis, variable clinical phenotypes, and b...
Partial volume effects (PVE) in positron emission tomography (PET) imaging introduce quantification inaccuracies, particularly in small or heterogeneo...
Disease outcomes of cutaneous leishmaniasis (CL) result from dynamic interactions between host immunity, Leishmania parasites and the host-sandfly mic...
BACKGROUND: Diabetic retinopathy (DR) severity is graded from the type and distribution of retinal lesions, yet most automated methods address grading...
Accurate assessment of the severity of atopic dermatitis is crucial for guiding treatment. However, the Eczema Area and Severity Index (EASI), a widel...
Fibroadenoma is the most common benign fibroepithelial lesion of the breast; it occurs most frequently in adolescents and women of reproductive age. W...
Objective: To develop and validate a dual-layer deep learning model based on cone-beam CT (CBCT)-derived multi-view two-dimensional (2D) slices for th...
Fluorodeoxyglucose PET/computed tomography plays a central role in the management of melanoma and soft-tissue sarcoma by enabling comprehensive metabo...
INTRODUCTION: Urine offers a noninvasive and low-cost source of disease biomarkers, yet most proteomic studies have targeted single conditions. Using ...
Deep eutectic solvents (DES) are highly viscous, which hinders their use in various applications. Their viscosities can be reduced by adding a small a...
Proteins have evolved over billions of years through coordinated substitutions, insertions and deletions, yet computational protein design cannot full...
BACKGROUND AND PURPOSE: Chronic post-stroke aphasia is heterogeneous, and focal lesion models do not fully explain persistent language impairment. We ...
BACKGROUND AND AIMS: Artificial intelligence (AI)-assisted endoscopy represents a promising approach for lesion detection, yet frequent false-positive...