Latest AI and machine learning research in intensivists for healthcare professionals.
Brain-computer interface (BCI) systems allow users to communicate with external devices by translati...
As social media platforms evolve, hate speech increasingly manifests across multiple modalities, inc...
Few-shot semantic segmentation aims to accurately segment objects from a limited amount of annotated...
The vast compositional space of multi-principal element nanoparticles (MPENs), along with their uniq...
Image dehazing is critical for enhancing image quality in applications such as autonomous driving, s...
PURPOSE: Deep learning methods are commonly used to generate context understanding to support surgeo...
The high morbidity and mortality of hepatocellular carcinoma (HCC) impose a substantial economic bur...
Graph structure is widely used in the field of multi-view learning. Hypergraph which is a kind of ex...
This study examines GPT-4o's ability to communicate effectively with relatives of patients undergoi...
To address the challenge of recognizing sheep faces of the same type, which exhibit significant simi...
Ophthalmic anesthesia the crucial factors in success and safety of ophthalmic surgery, which involve...
BACKGROUND: Sepsis, a life-threatening condition driven by dysregulated host responses to infection,...
Sepsis is a highly variable condition, and tracking leukocyte patterns may offer insights for tailor...
Sleep posture, a vital aspect of sleep wellness, has become a crucial focus in sleep medicine. Studi...
Multi-view dimensionality reduction (MvDR) is a potent approach for addressing the high-dimensional ...
Neuroscience shows that the brain stimulated by external information can induce functional responses...
Despite advances in cancer diagnosis and treatment, the disease remains a major health challenge. In...
Ovarian cancer (OV) remains the most lethal gynecological malignancy. The aim of this study was to i...
BACKGROUND: The integration of data from diverse sources is not only crucial for addressing data sca...
Traditional crack detection methods initially relied on manual observation, followed by instrument-a...
This study aimed to develop models for predicting the 30-day mortality of sepsis-associated delirium...