Latest AI and machine learning research in intensivists for healthcare professionals.
Near-infrared (NIR) spectroscopy has been widely utilized to predict multi-constituents of corn in a...
The integration of morphological attributes extracted from histopathological images and genomic data...
One reason arid and semi-arid environments have been used to store waste is due to low groundwater r...
INTRODUCTION: This study aims to construct a mortality prediction model for patients with non-varice...
Multi-view multi-label learning (MVML) aims to train a model that can explore the multi-view informa...
Antimicrobial resistance (AMR) is a major threat to public health worldwide. It is a promising way t...
BACKGROUND: Acute heart failure (AHF) in the intensive care unit (ICU) is characterized by its criti...
Over the past decades, massive Electronic Health Records (EHRs) have been accumulated in Intensive C...
Air pollution, particularly PM2.5, has long been a critical concern for the atmospheric environment....
Multi-task learning (MTL) methods are widely applied in breast imaging for lesion area perception an...
The generation of synthetic patient data that reflect the statistical properties of real data plays ...
The subcellular localization of messenger RNA (mRNA) not only helps us to understand the localizatio...
Synthetic lethality (SL) and synthetic viability (SV) are commonly studied genetic interactions in t...
Viral infections significantly impact the immune system, and impact will persist until recovery. How...
For scene matching, the extraction of metric features is a challenging task in the face of multi-sou...
As the global incidence of cancer continues to rise rapidly, the need for swift and precise diagnose...
In multi-view learning, graph-based methods like Graph Convolutional Network (GCN) are extensively r...
Recently, Vision Transformer and its variants have demonstrated remarkable performance on various co...
Learning electronic health records (EHRs) has received emerging attention because of its capability ...
Deep learning plays a pivotal role in retinal blood vessel segmentation for medical diagnosis. Despi...
PURPOSE/OBJECTIVES: A precordial stethoscope (PS) is essential for ensuring clear breath sounds duri...