Latest AI and machine learning research in intensivists for healthcare professionals.
PURPOSE: We aimed to validate a clinically available artificial intelligence (AI) model to assist ge...
Cognitive Radio (CR) technology enables wireless devices to learn about their surrounding spectrum e...
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex and multifaceted disorder t...
Weakly-supervised learning (WSL) methods have gained significant attention in medical image segmenta...
AIMS: Clear cell renal cell carcinoma (ccRCC) shows considerable variation within and between tumors...
The aim of this study was to develop and validate a machine learning-based mortality risk prediction...
COVID-19, caused by the SARS-CoV-2 coronavirus, has spread to more than 200 countries, affecting mil...
This research aimed to identify novel indicators for sepsis by analyzing RNA sequencing data from pe...
BACKGROUND: Chronic liver disease (CLD) is a substantial cause of morbidity and mortality worldwide....
BackgroundIschemic stroke is a critical neurological condition, with infection representing a signif...
The accurate identification of protein-nucleotide binding residues is crucial for protein function a...
Human mobility between different regions is a major factor in large-scale outbreaks of infectious di...
INTRODUCTION: Delirium, frequently experienced by ischemic stroke patients, is one of the most commo...
BACKGROUND: This study aimed to investigate the association between serum heat shock protein 27 (HSP...
BACKGROUND: Predictive, preventive, and personalized medicine (PPPM/3PM) is a strategy aimed at impr...
The loads that have several working states cannot be accurately distinguished by the conventional No...
BACKGROUND: Sepsis is a major cause of mortality in intensive care units (ICUs) and continues to pos...
Machine learning is widely used in dentistry nowadays, offering efficient solutions for diagnosing d...
Event-related potentials (ERPs) can reveal brain activity elicited by external stimuli. Innovative m...
BACKGROUND: Prognosis prediction in the intensive care unit (ICU) traditionally relied on physiologi...
The methodology of machine learning with multi-omics data has been widely adopted in the discriminat...