Dermatology

Application Value of Radiomics-Based Machine Learning for Preoperative Risk Stratification of Bladder Cancer: Systematic Review and Meta-Analysis.

BACKGROUND: Some researchers have explored the application of radiomics-based machine learning to de...

Molecular Landscape and Advanced Diagnostic Technologies for BRAF Mutations in Cancer: From Quantitative PCR and ddPCR to CRISPR-Based Platforms.

BRAF mutations are key oncogenic alterations across multiple malignancies, including melanoma, thyro...

RRBP1 promotes osimertinib resistance by activating fatty acid oxidation-dependent metabolic and immune reprogramming in EGFR-Mutant lung adenocarcinoma.

Osimertinib is a third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor ...

New Frontiers of Skin Ultrasound in Precision Medicine.

Ultrasound has emerged as a versatile, non-invasive imaging technique in dermatology, offering real-...

CDSegNet: a multi-scale convolution and attention mechanism U-shaped network for Crohn's disease lesion segmentation.

Accurate segmentation of Crohn's disease (CD) lesions from computed tomography enterography (CTE) cr...

Synergistic Integration of Artificial Merkel Disc and Meissner Corpuscle via Dermal Papillary Structures for Mechanically Filtered Multimodal Tactile Sensing.

Human skin efficiently perceives tactile stimuli through specialized mechanoreceptors strategically ...

Functional Imaging in Hereditary Endocrine Neoplasms: Evolving Modalities and Clinical Implications.

Hereditary endocrine neoplastic syndromes require structured, lifelong surveillance owing to their m...

Increased Dendritic Cell Density and Altered Melanin Patterns Distinguish Melanoma from Nevi on CRFF-OCT: A Pilot Study Toward Noninvasive Diagnosis.

Deep Learning for Quantitative Assessment of Suppurative Nevus Comedonicus.

Predicting recurrence within 5 years in Early-Stage lung adenocarcinoma with micropapillary and solid patterns.

BACKGROUND: Micropapillary (MP) and solid (S) pathological patterns are recognized as high-risk patt...

Masked autoencoder pretraining for peripheral nerve segmentation in ultrasound images.

Despite recent advances in medical image segmentation, deep learning applications in musculoskeletal...

Evaluating the quality of artificial intelligence responses to psoriasis-related clinical and patient questions: a comparative study of ChatGPT, Gemini, and Microsoft Copilot.

BACKGROUND: Patient use of artificial intelligence (AI) chatbots for dermatologic information is inc...

Enhanced Diagnosis of Generalized Pustular Psoriasis With the Legit.Health Device as a Diagnosis Support Tool: Multireader Multicase Study.

BACKGROUND: Generalized pustular psoriasis (GPP) is a rare, chronic, systemic inflammatory disease w...

Informatics-Based Psychotherapeutic and Psychiatric Interventions in Dermatology: Scoping Review of Impacts on Skin Disease Severity and Mental Health Outcomes.

BACKGROUND: Chronic dermatologic conditions such as psoriasis, atopic dermatitis, and hidradenitis s...

Machine learning-assisted design of carbon nanotube edge computing circuits for monolithic epidermal systems.

The rapid development of multimodal epidermal sensing requires scalable, energy-efficient data proce...

Non-invasive characterization of the relationship between skin microrelief and dermal-epidermal junction topography using line-field confocal optical coherence tomography (LC-OCT).

Non-invasive technologies for observing internal skin structures without damaging the surface have a...

Machine learning-based prediction of paracetamol solubility and CO₂ density in supercritical systems using artificial rabbits optimization.

The accurate prediction of solubility and solvent properties in supercritical CO₂ systems remains a ...

Dynamic Contrast-Enhanced pituitary MRI with higher temporal resolution using deep learning Reconstruction: A feasibility study.

OBJECTIVE: To assess the image quality and diagnostic performance of pituitary MRI with higher tempo...

ALADIN (Acne Lesion And Density INdex): a novel tool for automatic acne severity assessment.

BACKGROUND: Acne affects approximately 80% of adolescents worldwide, regardless of age, sex or ethni...

Real-world diagnostic performance of artificial intelligence in skin cancer screening.

BACKGROUND: The use of artificial intelligence (AI) in many aspects of society is expanding rapidly....

SiNuS: A comprehensive dataset for singular nuclei segmentation for HER2 grading of breast cancer.

Singular nuclei are those that are intact and do not overlap with neighboring nuclei. According to t...