Latest AI and machine learning research in intensivists for healthcare professionals.
Spatial transcriptomics has gained popularity over the past decade due to its ability to evaluate tr...
The exponential growth in data volume has necessitated the adoption of alternative storage solutions...
Histopathology image-based survival prediction aims to provide a precise assessment of cancer progno...
Ensuring the security of China's rice harvest is imperative for sustainable food production. The exi...
Ischemic lesion segmentation and the time since stroke (TSS) onset classification from paired multi-...
(Ss) is one of the most devastating fungal pathogens, causing huge yield loss in multiple economica...
Cephalometric analysis is critically important and common procedure prior to orthodontic treatment a...
In recent years, the classification and identification of surface materials on earth have emerged as...
BACKGROUND: Accurate prediction of the optimal dose for β-lactam antibiotics in neonatal sepsis is c...
Multi-modal attention mechanisms have been successfully used in multi-modal graph learning for vario...
Mitophagy serves as a critical mechanism for tumor cell death, significantly impacting the progressi...
Solar cells are playing a significant role in aerospace equipment. In view of the surface defect cha...
Multi-Modal Entity Alignment (MMEA), aiming to discover matching entity pairs on two multi-modal kno...
This study aimed to develop a machine learning (ML)-based tool for early and accurate prediction of ...
Early detection of pneumoconiosis by routine health screening of workers in the mining industry is c...
BACKGROUND: There is no individualized prediction model for intensive care unit (ICU) admission on p...
The rapid advancements in Artificial Intelligence of Things (AIoT) are pivotal for the healthcare se...
Bacterial infection is one of the major causes of neonatal morbidity and mortality worldwide. Findin...
Retinal disorders are a major cause of irreversible vision loss, which can be mitigated through accu...
In biomass pyrolysis for biochar production, existing prediction models face computational challenge...
OBJECTIVE: To develop a sepsis death classification model based on machine learning techniques for p...