Dermatology

A Textile-Based, Battery-Free, Electrochromic Platform for Visual Epidermal Sweat Biosensing.

Noninvasive wearable sweat sensors are promising for personalized health management, yet their wides...

Silencing SLC52A2 promotes tertiary lymphoid structure formation and inhibits IL-17 pathway to ameliorate melanoma progression.

Tertiary lymphoid structure (TLS) correlates with improved prognosis in melanoma. The role of solute...

Multi-task Deep Learning via UNETR for PSMA PET/CT Image for Prostate Cancer: Simultaneous Assessment of Prostate Cancer Disease Burden, Treatment Selection and Survival Outcomes.

Prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) pr...

Impact of Aggregation Functions and Learning Settings in Privacy-Preserving Federated Learning for Skin Cancer Detection.

Skin cancer is among the most common malignant tumors worldwide, and early detection is essential to...

Non-invasive detection and monitoring of oral squamous cell carcinoma and oral potentially malignant disorders: an umbrella review on diagnostic accuracy.

OBJECTIVES: Various non-invasive diagnostic techniques have been developed and assessed to improve e...

Cutaneous lymphomas - an update.

Primary cutaneous lymphomas (CL) and lymphoproliferative disorders (LPD) are heterogeneous T- and B-...

Part III: Digital Dermatopathology Playbook: Change Management, AI Integration, and Strategic Lessons Beyond Technology.

Part III of our three-part series addresses the human, strategic, and forward-looking considerations...

Does Artificial Intelligence Make Dermatologists Less Intelligent?

Artificial intelligence is transforming dermatology, but may introduce risks of cognitive offloading...

Vital study: Real-world comparison of robotic and imaging-guided bronchoscopy: Impact of real-time imaging and tool-lesion alignment on diagnostic yield.

BACKGROUND: Accurate bronchoscopic diagnosis of peripheral pulmonary lesions remains limited by navi...

An Explainable Computer-Aided Framework for Skin Lesion Classification Using Deep Learning.

The utilization of deep convolutional neural networks for the purpose of diagnosing diseases in the ...

[Synergistic learnable frequency and multi-scale spatial network for lightweight skin cancer classification].

Early screening of skin cancer is crucial to the survival rate of patients. Although deep learning h...

Diagnosis of Clinically Significant Prostate Cancer in Multiparametric MRI with Pseudo-Localization of Suspected Lesion.

To develop a two-stage diagnostic framework using pseudo-localization for patient-level diagnosis of...

International Application of Artificial Intelligence for Lesion Detection on Digital Breast Tomosynthesis: Comparing Western and Eastern Databases.

RATIONALE AND OBJECTIVES: The international application of artificial intelligence (AI) for lesion d...

PRECISE v2 in active surveillance prostate MRI: toward a structured lexicon for longitudinal interpretation.

Active surveillance increasingly incorporates prostate MRI for longitudinal assessment of lesion sta...

EffiSegNet: Advances in Automated Segmentation of Actinic Cheilitis and Lip Squamous Cell Carcinoma in Clinical Photographs.

BACKGROUND: Actinic cheilitis (AC) is a potentially malignant oral disorder linked to lip squamous c...

Neoantigen in cancer immunotherapy: mechanism, therapeutic strategies and future perspectives.

Neoantigens are tumor-specific antigens resulting from genetic, transcriptomic, and proteomic change...

Artificial Intelligence-based 3D Assessment of Alopecia Areata Using Clinical Photographs.

Single-shot T2-Weighted Turbo Spin-echo Imaging of the Liver Improves Lesion Characterization Compared with Free-breathing Acquisition.

RATIONALE AND OBJECTIVES: T2-weighted imaging is essential for liver magnetic resonance imaging (MRI...

Exploring and validating hub genes associated with atopic dermatitis through weighted gene co-expression network analysis and machine learning.

This study aimed to identify novel biomarkers of atopic dermatitis (AD) and investigate their pathog...

Single-photon emission computed tomography/computed tomography-based radiomics of bone metastases for predicting epidermal growth factor receptor mutation status and targeted therapy efficacy in non-small-cell lung cancer.

BACKGROUND: This study aimed to develop a single-photon emission computed tomography/computed tomogr...

Computational methods, clinical evidence, and translational readiness for artificial intelligence for HER2 assessment using silver in situ hybridization (SISH).

Accurate determination of human epidermal growth factor receptor 2 (HER2) gene amplification is a co...