Latest AI and machine learning research in intensivists for healthcare professionals.
The potential of Reinforcement Learning (RL) has been demonstrated through successful applications t...
The mortality prediction of diverse rare diseases using electronic health record (EHR) data is a cru...
A reliable and searchable knowledge database of adverse drug reactions (ADRs) is highly important an...
Deep learning models are increasingly studied in the field of critical care. However, due to the lac...
The efficacy of early fluid treatment in patients with sepsis is unclear and may contribute to serio...
Online physician review (OPR) websites have been increasingly used by healthcare consumers to make i...
Sepsis, a life-threatening organ dysfunction, is a clinical syndrome triggered by acute infection an...
Artificial intelligence (AI) has been introduced into medicine and an AI-assisted medicine will be t...
The identification, sorting and analysis of rare target single cells in human blood has always been ...
OBJECTIVE: To develop machine learning (ML) models capable of predicting ICU admission and extended ...
Image registration is a fundamental task in image analysis in which the transform that moves the coo...
OBJECTIVE: To study if limited frontotemporal electroencephalogram (EEG) can guide sedation changes ...
The functionalization of microrobots is essential for realizing their biomedical application in targ...
INTRODUCTION: Patients with sepsis who present to an emergency department (ED) have highly variable ...
COVID-19 has infected 77.4 million people worldwide and has caused 1.7 million fatalities as of Dece...
BACKGROUND: Passive leg raising (PLR) predicts fluid responsiveness in critical illness, although re...
BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to...
STUDY OBJECTIVE: Machine-learning algorithms allow improved prediction of sepsis syndromes in the em...
Skull-stripping and region segmentation are fundamental steps in preclinical magnetic resonance imag...
The aim of this study was to develop a predictive model of pediatric mortality in the early stages o...
Similar to other biometric systems such as fingerprint, face, DNA, iris classification could assist ...