Latest AI and machine learning research in intensivists for healthcare professionals.
Timely fire warnings are crucial for minimizing casualties during building fires. In this paper, a m...
Rickettsia is a genus of bacteria that are obligate intracellular parasites and are responsible for ...
Accurate prediction of reservoir parameters is crucial for enhancing oil exploration efficiency and ...
BACKGROUND: The heterogeneity of sepsis poses challenges for the individualized treatment of vasoact...
This study aimed to develop a predictive model integrating clinical, radiomics, and deep learning (D...
Graph Neural Network (GNN) is a popular semi-supervised graph representation learning method, whose ...
In marine environments, the sources of organophosphate esters (OPEs), particularly emerging OPEs (eO...
Non-suicidal self-injury (NSSI) is a serious threat to the physical and mental health of adolescents...
In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-ta...
Salient Object Detection (SOD) is a fundamental task in computer vision, aiming to identify prominen...
Communicating Narrative Concerns Entered by RNs Early Warning System (CONCERN EWS) is a machine-lear...
Unsupervised MR-CT synthesis presents a significant opportunity to reduce radiation exposure from CT...
Efficient patient monitoring on the medical-surgical wards is crucial to prevent significant in-hosp...
The evaluation of students in physical education remains a formidable challenge due to the limitatio...
PURPOSE: We developed an artificial intelligence system (AIS) using multi-view multi-level convoluti...
OBJECTIVE: To explore the construction and clinical visualization application of a mortality risk pr...
Electroencephalography (EEG) provides a non-invasive and real-time approach to decoding motor imager...
Given the importance of datasets for sensing-communication integration research, a novel simulation ...
INTRODUCTION: There has been an increasing focus on object segmentation within remote sensing images...
Efficient path planning and obstacle avoidance in a complex and dynamic environment is one of the ke...
This paper proposes an adaptive multi-threshold image segmentation method named IBKA-OTSU to address...