Latest AI and machine learning research in dermatology for healthcare professionals.
Androgenetic alopecia (AGA) is characterized by patterned follicular miniaturization, increased sing...
Cerebral microbleeds (CMBs) and cortical superficial siderosis (cSS) are imaging markers of cerebral...
Latent visual reasoning equips vision--language models with continuous intermediate states that can ...
Unsupervised anomaly detection (UAD) methods for brain MRI are ranked by a single score, yet that sc...
Decades of antibody-based protein profiling have generated valuable cohorts across evolving cytometr...
Predicting molecular receptor status, including estrogen receptor (ER), progesterone receptor (PR), ...
Mycosis fungoides (MF) is a rare form of cutaneous T-cell lymphoma that is often misdiagnosed in ear...
Medical Vision-Language Models (VLMs) show significant promise for clinical image understanding, off...
The development of AI systems for tumor-specific applications is limited by the scarcity of labeled ...
Enlarged perivascular spaces (PVS) visible in brain magnetic resonance imaging (MRI) are increasingl...
Deep learning classifiers for dermoscopic skin lesions often reach high in-distribution accuracy whi...
Acne assessment is crucial for clinical decision-making, yet traditional grading and counting are su...
Existing text-guided segmentation models in the medical domain cover only a narrow set of anatomical...
Accurate segmentation of post-treatment brain metastases is essential for treatment planning, longit...
Dynamic contrast-enhanced breast MRI (DCE-MRI) is rich in anatomical and perfusion information, but ...
Reliable skin lesion segmentation and classification are central to dermoscopic computer-aided diagn...
Dermoscopy classifiers built on Vision Transformers process all image patches uniformly, although di...
Common segmentation losses aggregate errors voxel-wise, so lesions influence the objective in propor...
Primary bone tumors are rare but clinically aggressive neoplasms whose diagnosis from radiographs is...
Sparse longitudinal CT follow-up limits lesion-size forecasting when only a few prior observations a...
Objectives: Quantitative assessment of infarct hypodensity on non-contrast computed tomography (NCCT...