Dermatology

Bioinspired Keratin-Based Eutectic Hydrogels for Intelligent Health Monitoring and Photothermal Therapy.

The development of epidermal sensors that integrate high mechanical strength, excellent sensing perf...

Predicting the Severity of Infrapopliteal Artery Lesions in Patients With Peripheral Artery Disease Using Interpretable Machine Learning.

PURPOSE: Infrapopliteal arterial disease represents a complex subtype of peripheral artery disease (...

Reflectance confocal microscopy in the management of lentigo maligna and lentigo maligna melanoma: a systematic review.

BACKGROUND: Lentigo maligna (LM) and lentigo maligna melanoma (LMM) are difficult to manage because ...

Deep Learning-Based Vitiligo Activity Evaluation Using Wood's Lamp Imaging: A Clinical Decision Support.

Vitiligo is an autoimmune disorder characterized by heterogeneous and unpredictable depigmentation, ...

Machine Learning-Based Preoperative Predicting TERT Promoter Mutation and EGFR Gene Amplification Phenotype in IDH Wild-Type Glioblastoma Using Advanced MR Habitat Imaging.

BACKGROUND AND PURPOSE: The telomerase reverse transcriptase (TERT) gene promoter mutation is a cruc...

An IoT-enabled CRNN framework for secure wearable sensor-based activity recognition in physical education.

Recent advancements in digital technologies have profoundly transformed healthcare delivery, sports ...

Hoof lesion detection in lactating Holsteins: Part II. Development and on-farm validation of a predictive classification model using autonomous camera system data compared to passive surveillance.

Hoof lesion detection remains a challenge in lameness management on dairy farms. Recent studies have...

Forensic 3D avatars - AI-assisted injury detection and interactive digital-twin visualization.

This feasibility study explores the application of a dermatology-based 3D full-body scanning system ...

AI-Powered Detection of Cutaneous Involvement in Familial Mediterranean Fever.

Image quality restoration in 15-s breath-hold PET using a diffusion-based neural network.

BACKGROUND: Breath-hold PET imaging helps reduce respiratory motion artifacts in thoracoabdominal sc...

Regulatory roles of microRNAs in epigenetic and immune gene networks in psoriasis.

Psoriasis is a chronic, immune-mediated skin disorder characterized by keratinocyte hyperproliferati...

ChatGPT, Gemini, and Claude in clinical and dermoscopic image analysis of basal cell carcinoma and its common mimickers: A comparative performance analysis.

Basal cell carcinoma (BCC) is the most common skin cancer. Off-the-shelf multimodal large language m...

Single-nucleus multi-omics dissection of dysregulated trophoblast development and disrupted immune microenvironment in complete hydatidiform moles.

Hydatidiform mole (HM) is driven by aberrant trophoblast proliferation, disrupting embryonic develop...

Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data.

Immune checkpoint inhibitors (ICIs) have transformed the advanced melanoma treatment landscape; howe...

Deep Learning for Classification and Prognosis of Melanoma in Whole-Slide Images: A Review.

The rising incidence of melanoma highlights the limitations of traditional diagnostic methods, inclu...

What practicing pathologists and oncologists should know about the new computational pathology-based companion diagnostic tools.

The integration of artificial intelligence into pathology is transforming the assessment of histolog...

TRKB-based signature identifies high-risk squamous cell carcinoma cases and TRKB blockade reprograms tumor and stromal cells toward suppressive phenotypes.

BACKGROUND: Cutaneous squamous cell carcinoma (cSCC) is a common age-related cancer, with a subset p...

Geometric deep learning-based coronary wall shear stress estimation from real-world patients.

BACKGROUND: Coronary wall shear stress (WSS) derived from computational fluid dynamics (CFD) provide...

Deep Learning-Based Diagnostic Model for Ocular Surface Neoplastic Diseases.

PURPOSE: To develop a deep learning (DL) model for diagnosing ocular surface tumors and evaluating i...

Integrative transcriptomic and machine learning analysis identifies CDH17 and HOXC13 as robust candidate prognostic biomarkers in uveal melanoma.

BACKGROUND: Uveal melanoma (UM), the most common form of ocular melanoma, represents poor prognosis,...

Diabetic retinopathy classification network with multi-frequency contextual attention module.

Diabetic retinopathy (DR) remains a major cause of visual impairment globally, and early, accurate d...