Dermatology

Recent advances in nanofabrication strategies for biosensors: from precision nanopatterning to scalable, flexible, and AI-assisted manufacturing.

Nanofabrication has become central to the development of high-performance biosensors by enabling pre...

Benchmark Evaluation of Vision-Enabled Large Language Models in Mammography: A Case-Control Study.

OBJECTIVE: To compare the diagnostic performance of five contemporary vision-enabled large language ...

Development of a Novel Real-Time Computer-Assisted Colonoscopy Diagnostic Tool for Colorectal Neoplasia and Cancer to Enable Personalized Patient Management: Protocol for a Multicenter Proof-of-Concept Study.

BACKGROUND: Accurate real-time classification of colorectal polyps during colonoscopy is essential f...

A deep learning radiomics model based on multiparametric MRI for predicting the efficacy of neoadjuvant chemotherapy in axillary lymph nodes of breast cancer.

OBJECTIVES: In this study, we developed and validated a deep learning radiomics clinical (DLRC) mode...

Distinct trajectories of disease severity progression in juvenile systemic sclerosis.

OBJECTIVE: Juvenile systemic sclerosis (JSSc) often presents with overlapping features, making pheno...

Wearable Sensors and VOC Monitoring: Data Fusion and Machine Learning for Non-Invasive Disease Detection.

Emerging technologies that detect volatile organic compounds (VOCs) emanating from the body enable r...

An artificial intelligence model combining MRI and ultrasound images (MRUSuNet) for prostate cancer detection outperforms radiologist MRI interpretation.

OBJECTIVES: To develop the magnetic resonance imaging (MRI)-UltraSound UNet (MRUSuNet), a model that...

Outcome measures and monitoring framework in juvenile systemic sclerosis: bridging routine care and clinical trials.

INTRODUCTION: Juvenile systemic sclerosis (jSSc) is an orphan multisystem autoimmune disease that ca...

Artificial intelligence and the third dimension: towards objective outcome assessment in vitiligo.

Redefining minoxidil therapy for androgenetic alopecia: from advanced drug delivery to precision treatment.

INTRODUCTION: Minoxidil remains a cornerstone of pharmacological therapy for androgenetic alopecia (...

Retrospective multi-reader evaluation of a Deep-Learning-based cancer detection model in Contrast-Enhanced Mammography.

OBJECTIVES: To evaluate the clinical impact of a deep-learning-based computer-aided diagnostic tool ...

The PENIMA project: artificial intelligence decision-support tool for penile lesions - protocol paper and invitation to participate.

OBJECTIVES: To present and describe the design, data collection framework, and interim cohort charac...

Influence of virtual dynamic contrast enhanced breast MRI on lesion size, BI-RADS scores and reader confidence.

BACKGROUND: Breast MRI routinely uses gadolinium-based contrast agents (GBCAs) for dynamic contrast-...

Dermoscopy of intraepidermal keratinocytic neoplasms in solid organ transplant recipients: a single-center prospective real-world study supported by machine learning.

BACKGROUND: Actinic keratoses (AKs) and Bowen disease (BD) are precursors of cutaneous squamous cell...

Deep learning reconstruction in prostate MRI: technical principles, clinical applications, and future directions.

Multiparametric magnetic resonance imaging (mpMRI) has become integral to the detection, localizatio...

The reliability of clinical judgments in dermatology: a descriptive review on their role as a reference standard for technological diagnostic research.

The expansion of dermatological mobile health (mHealth) and teledermatology has generated numerous d...

The Colorimetric Scale for Skin of Color (CSSC) can Provide a Standardized Classification System for Patients with Diverse Skin Tones.

The colorimetric scale for skin of color (CSSC) is an inexpensive, easy to use, rapidly performed as...

Automated Lewis Score Estimation for Small Bowel Crohn Disease Using Capsule Endoscopy: Retrospective Cohort Study.

BACKGROUND: Small bowel capsule endoscopy (SBCE) is widely used to evaluate small bowel involvement ...

Comparison of Integrated Versus Sequential Artificial Intelligence-Based Computer-Aided Diagnosis Systems in Breast Ultrasound: A Prospective Pilot Study on Examination Time, Reproducibility, and Diagnostic Performance.

RATIONALE AND OBJECTIVES: To compare integrated and sequential artificial intelligence-based compute...

AMSSE-SwinTrans: A harmonized multimodal hybrid framework with explainable AI for ischemic stroke lesion segmentation.

BackgroundAccurate ischemic stroke lesion segmentation from magnetic resonance imaging (MRI) is impo...

PLEKHA5-targeted photothermal-gene combination therapy via mPDA@DMEA@siRNA nanoparticles suppresses melanoma progression.

Melanoma is an aggressive skin malignancy characterized by high metastatic potential and resistance ...