Latest AI and machine learning research in dermatology for healthcare professionals.
This study aims to develop a 2.5D deep learning model with shape and margin as auxiliary tasks to im...
Multi-task DL for predicting EGFR mutation status Epidermal growth factor receptor (EGFR) mutation s...
BACKGROUND: Skin cancer is one of the most common malignancies worldwide, and early detection is ess...
Autoimmune diseases, including psoriasis (Ps), rheumatoid arthritis (RA) and ulcerative colitis (UC)...
OBJECTIVE: Ultrasound fusion imaging is a hybrid technique that combines real-time ultrasonography (...
Ischemic stroke management is time-sensitive, and lesion segmentation supports treatment selection, ...
Although artificial intelligence is rapidly advancing, its application in translational dermatologic...
BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adeno...
Cervical cancer is still a major public-health challenge, especially in low and middle-income countr...
Smartphone applications for dermatology are widely available across Europe, yet evidence on their ch...
INTRODUCTION: Psoriatic arthritis is a chronic inflammatory disease that can affect the axial skelet...
BACKGROUND: Positron emission tomography with magnetic resonance imaging (PET/MRI) provides noninvas...
BACKGROUND: Gamma Knife radiosurgery (GKRS) is an established adjunct for residual or recurrent cran...
Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by...
PURPOSE: To compare the image quality of diffusion-weighted imaging (DWI) between deep learning reco...
The diagnostic image quality of positron emission tomography (PET) acquisitions strongly depends on ...
OBJECTIVE: To develop and evaluate an automated CT liver lesion-tracking algorithm that matches lesi...
BACKGROUND: Skin neglected tropical diseases (NTDs) pose significant diagnostic and management chall...
Reliable and continuous electrophysiological recording is important for health monitoring and human-...
UNLABELLED: Accurate prediction of epidermal growth factor receptor (EGFR) mutations is essential fo...