Latest AI and machine learning research in dermatology for healthcare professionals.
OBJECTIVE: Accurate preoperative assessment of muscle invasion in bladder cancer (BCa) guides therap...
INTRODUCTION: Acne vulgaris is a prevalent dermatological disorder that affects millions worldwide, ...
INTRODUCTION: Melanoma and Breast cancer are the leading cancers that cause thousands of deaths annu...
OBJECTIVES: Accurate noninvasive classification of hepatic lesions remains a diagnostic challenge, p...
BACKGROUND: Artificial intelligence (AI) algorithms have advanced and recently shown high accuracy i...
OBJECTIVES: Motion and limited compliance compromise diagnostic MR image quality, particularly in pe...
Skin aging reflects both intrinsic biological decline and extrinsic influences collectively known as...
Large language models (LLMs) have shown promise in medical imaging, but their utility in cytology re...
PURPOSE: To evaluate the feasibility and limitations of real-world, text-only inference of PI-RADS v...
Stretchable tactile sensors are essential for robotic skin; however, conventional planar integration...
OBJECTIVES: By comparing deep learning and habitat analysis models based on contrast-enhanced CT (CE...
The unprecedented success of mRNA vaccines during the COVID-19 pandemic has accelerated the developm...
BACKGROUND: Actinic keratosis (AK) is a precancerous skin lesion with the potential to progress into...
PURPOSE: Quantitative MRI analysis holds significant promise for improving the early diagnosis and p...
This study presents an integrated multitask deep learning framework for the automated analysis of ac...
OBJECTIVES: To assess the Transformer-based Swin2SR model for super-resolution (SR) enhancement of l...
BACKGROUND: Dermatomyositis is a common immune-mediated skin disorder whose pathogenesis has not bee...
Itch or pruritus invokes a specific reflexive and repetitive directed nocifensive behavioural respon...
Infrared thermography (IRT) has recently gained attention in the field of exercise physiology, due t...
Green AI aims to design and train machine learning models while taking into consideration sustainabl...
This study investigates the use of quantitative LC-MS/MS-based proteomics and surface-enhanced Raman...