Dermatology

Artificial intelligence in dermatologic pharmacokinetics: quantitative modeling, clinical translation, and optimization of precision therapeutics.

INTRODUCTION: Dermatology is rapidly transitioning from broad-spectrum therapies toward biologics, n...

AI-Driven Digital Tools for Atopic Dermatitis: A Scoping Review.

BACKGROUND: Atopic dermatitis (AD) affects around 20% of children and up to 10% of adults. Its fluct...

Deep learning for CT-less attenuation correction synthesis in non-small cell lung cancer: A proof-of-concept evaluated for quantitative and physical characteristics.

To develop and rigorously validate a deep learning framework for CT-free positron emission tomograph...

Ultra-low dose chest-abdomen-pelvis CT with deep-learning image reconstruction for cancer follow-up: Impact on image quality and lesion detection.

PURPOSE: The purpose of this study was to compare the image quality and lesion detection between ult...

From decay to discovery: A new antimicrobial peptide from Chrysomya megacephala (Diptera: Calliphoridae) larvae.

The larvae of Chrysomya megacephala (Diptera: Calliphoridae) thrive in environments rich in decaying...

An Organ-Guided Lightweight Multi-frame Integration Network for Real-Time Abdominal Lesion Detection in Ultrasound Video Streams.

OBJECTIVE: Abdominal ultrasound is widely used for the routine screening of hepatobiliary and renal ...

Do not smile when acquiring consumer selfies for multi-attribute skin profiling and baseline deep learning evaluation.

The increasing demand for personalized skincare solutions highlights a significant gap: many consume...

[Diagnostic efficacy and teaching value of artificial intelligence-assisted diagnostic systems in cervical liquid-based cytology screening].

Objective: To systematically evaluate the diagnostic performance of an artificial intelligence (AI)-...

Willingness to pay among individuals from the Dutch general population for artificial intelligence based apps for skin cancer detection: a survey-based mixed-methods study.

BACKGROUND: Rising skin cancer incidence increases pressure on the healthcare system. Artificial int...

Human-AI Interaction With AI-Assisted Tumor Overlays in Pediatric Whole-Body Magnetic Resonance Imaging: Exploratory Reader Study.

BACKGROUND: AI tools have the potential to enhance personalized clinical care, particularly in radio...

Small lesion, big challenge? Diagnosis of small diameter melanocytic lesions by dermatologists using AI support.

BACKGROUND: Dermoscopy enhances melanoma detection, but small-diameter melanomas (SDMs) remain diagn...

Advanced imaging in systemic sclerosis: distinguishing activity from damage across organ systems.

PURPOSE OF REVIEW: A central challenge in systemic sclerosis (SSc) is the inability to distinguish a...

Frequency of use and attitudes toward AI-based health counseling among patients attending the dermatology outpatient clinic: a cross-sectional study.

PURPOSE: To quantify the prevalence of pre-visit AI consultation among dermatology outpatients and t...

Non-invasive prediction of dupilumab response in facial atopic dermatitis using early post-treatment reflectance confocal microscopy features.

BACKGROUND: Non-invasive prediction of the efficacy of dupilumab on facial lesions in patients with ...

Clinical-guided deep learning framework for diabetic retinopathy: integrating lesion-aware attention, adversarial augmentation, and uncertainty quantification.

The global prevalence of diabetic retinopathy (DR) is increasing in parallel with the rising burden ...

Artificial Intelligence-Based Assessment With Line-Field Confocal Optical Coherence Tomography (LC-OCT) During Topical Ruxolitinib Therapy for Vitiligo.

Response to letter regarding…letter to the editor-Evaluation of the clinical applicability of artificial intelligence in determining systemic therapy indications and treatment selection in psoriasis.

Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people.

Artificial intelligence (AI) is increasingly permeating healthcare, from serving as a physician assi...

Deep learning image reconstruction improves visualization of arterial phase hyperenhancement and washout appearance on dual-energy CT for hepatocellular carcinoma: a non-inferiority study.

PURPOSE: This study aimed to evaluate the clinical value of deep learning image reconstruction (DLIR...

Beyond diagnostic accuracy: evaluating the clinical utility of artificial intelligence for suspicious lesion triage.

The recent systematic review and meta-analysis by Nirula et al. reports pooled sensitivity and speci...

Whole-slide analysis of mitotic activity in melanoma reveals higher-proliferation hotspots and distinct spatial patterns.

INTRODUCTION: Accurate assessment of mitotic activity is an important component of melanoma prognost...