Latest AI and machine learning research in critical care for healthcare professionals.
Butyrylcholinesterase inhibition offers one of the formulated solutions to tackle the aggravating sy...
For the purpose of developing new drugs and repositioning existing ones, accurate drug-target affini...
This paper introduces a novel transfer learning framework for time series forecasting that uses Conc...
OBJECTIVES: To investigate the intra- and inter-rater reliability of the total methodological radiom...
BACKGROUND AND OBJECTIVE: Asynchronous breathing (AB) occurs when a mechanically ventilated patient'...
Skin cancer is frequently occurring and has become a major contributor to both cancer incidence and ...
Skin diseases, a significant category in the medical field, have always been challenging to diagnose...
BackgroundSepsis complicates acute pancreatitis (AP), increasing mortality risk. Few studies have ex...
. Deep learning (DL)-based automated contouring and treatment planning has been proven to improve th...
Due to the complexity and variability of application scenarios and the increasing demands for assemb...
OBJECTIVES: Developing and validating interpretable machine learning (ML) models for predicting whet...
Increasing evidences have indicated that circular RNAs play a crucial role in the onset and progress...
OBJECTIVE: Blood pressure fluctuations during dialysis, including intradialytic hypotension (IDH) an...
Manual lung ultrasound (LUS) scoring is influenced by clinicians' subjective interpretation, leading...
The purpose of this study was to develop a robust deep learning approach trained with a smallMRI dat...
The morphological characteristics of pulmonary nodule, also known as the attributes, are crucial for...
PURPOSE: In this study, we aimed to develop and clinically evaluate an artificial intelligence (AI)-...
The development of BACE-1 (β-site amyloid precursor protein cleaving enzyme 1) inhibitors is a cruci...
Bi-parametric magnetic resonance imaging (bpMRI) has become a pivotal modality in the detection and ...
While numerous studies strive to exploit the complementary potential of MRI and PET using learning-b...
Auscultation is a method that involves listening to sounds from the patient's body, mainly using a s...