Latest AI and machine learning research in dermatology for healthcare professionals.
Merkel cell carcinoma (MCC) is a rare cutaneous neuroendocrine malignancy with a higher case-fatalit...
This study compared machine-learning models for predicting recurrence-free survival (RFS), disease-s...
Predicting long-term functional outcomes for individuals with stroke is a significant challenge. Sol...
Easy and accessible biomarkers to predict response to immune checkpoint inhibition (ICI)-treated mel...
Assessment of brain lesions on MRI is crucial for research in multiple sclerosis (MS). Manual segmen...
Dengue, chikungunya, and Zika are diseases of major human concern. Differential diagnosis is complic...
MRI is critical for the detection of subtle cortical pathology in epilepsy surgery assessment. This ...
Our aim is to demonstrate that multimodal deep learning can enhance the accuracy of classifying skin...
Gadolinium-based Contrast Agents (GBCAs) are used in brain MRI exams to improve the visualization of...
Knee osteoarthritis (OA) is a leading cause of disability worldwide, with early identification of st...
While Deep Learning (DL) models trained on Magnetic Resonance Imaging (MRI) have shown promise for p...
Molecular and cellular alterations to the normal pseudostratified columnar bronchial epithelium resu...
Recent advances in Artificial Intelligence (AI) have started disrupting the healthcare industry, esp...
Post-translational modifications (PTMs) represent a fourth dimension of the genetic code, orchestrat...
Spatial transcriptomics technology remains resource-intensive and unlikely to be routinely adopted f...
Vision-language models (VLMs), with their ability to integrate visual and textual information, have ...
Skin cancer, one of the most prevalent forms of cancer globally, demands early and accurate diagnosi...
Biomedical data are inherently multimodal, capturing complementary aspects of a patient condition. D...
Multiple sclerosis (MS) is a chronic inflammatory neurodegenerative disorder of the central nervous ...
Pre-procedural risk prediction of 30-day all-cause mortality after percutaneous coronary interventio...
Widespread access to imaging technologies and stronger machine learning (ML) architectures for derma...