Latest AI and machine learning research in intensivists for healthcare professionals.
Continuous renal replacement therapy (CRRT) is a life-saving procedure for sepsis but the benefit of...
Multi-relational graph learning aims to embed entities and relations in knowledge graphs into low-di...
BACKGROUND: Artificial intelligence (AI)-assisted image interpretation is a fast-developing area of ...
BACKGROUND: Neonatal sepsis is a global health threat, contributing to high morbidity and mortality ...
Affective brain-computer interface is an important part of realizing emotional human-computer intera...
As deep learning technology has progressed, automated medical image analysis is becoming ever more c...
In data analysis and forecasting, particularly for multivariate long-term time series, challenges pe...
Filamentous fungi's secondary metabolites (SMs) possess significant application owing to their disti...
AIMS: This study aims to develop explainable machine learning models and clinical tools for predicti...
PURPOSE: The purpose of this study was to investigate the added value of artificial intelligence (AI...
Accurate prediction of drug-target binding affinity (DTA) is essential in the field of drug discover...
Given the extensive heterogeneity and variability, understanding cellular functions and regulatory m...
BACKGROUND: Cardiac arrest (CA) is one of the leading causes of death among patients in the intensiv...
Alzheimer's disease (AD) patients admitted to intensive care units (ICUs) exhibit varying survival o...
BACKGROUND: The current study sets out to develop and validate a robust machine-learning model utili...
Accurate face detection and subsequent localization of facial landmarks are mandatory steps in many ...
There is no shortage of literature surrounding ChatGPT and whether this large language model can pro...
Protein secondary structure prediction (PSSP) plays a crucial role in resolving protein functions an...
This retrospective study used 10 machine learning algorithms to predict the risk of healthcare-assoc...
Deep learning-based denoising of low-dose medical CT images has received great attention both from a...
Generative deep learning models enable data-driven de novo design of molecules with tailored feature...