Latest AI and machine learning research in intensivists for healthcare professionals.
In clinical practice, frozen section (FS) images can be utilized to obtain the immediate pathologica...
Drug-drug interactions (DDIs) can result in deleterious consequences when patients take multiple med...
Semi-supervised learning with a graph-based approach has become increasingly popular in machine lear...
Human epidermal growth factor receptor 2 (HER2) is an important biomarker for prognosis and predicti...
Purpose Federated training is often challenging on heterogeneous datasets due to divergent data stor...
Diabetic Foot Ulcer (DFU) is a severe complication of diabetes mellitus, resulting in significant he...
Pan-sharpening is a widely employed technique for enhancing the quality and accuracy of remote sensi...
The diagnosis of Alzheimer's disease (AD) based on visual features-informed by clinical knowledge ha...
Automated classification of liver lesions in multi-phase CT and MR scans is of clinical significance...
Research on emotion recognition is an interesting area because of its wide-ranging applications in e...
The soil quality of forest land is directly related to the growth of forest trees and the local ecol...
Choroid plexus (CP) is an important brain structure that produces cerebrospinal fluid (CSF). CP perf...
Fixation is a critical step in green tea processing, and the moisture content of the leaves after fi...
With the escalating demand for exploration within confined spaces, bionic design methodologies have ...
BACKGROUND: Artificial intelligence (AI)-based clinical decision support systems (CDSS) have been de...
AIM: To develop and validate a machine learning (ML) model based on positron emission tomography/com...
PURPOSE: This study aims to assess whether the novel CovBat harmonization method can further reduce ...
. Humanity faces many health challenges, among which respiratory diseases are one of the leading cau...
The emergence of Large Language Models (LLMs) like ChatGPT has inspired the development of LLM-based...
BACKGROUND AND OBJECTIVE: Acquiring comprehensive information from multi-modal medical images remain...
Medical image segmentation is pivotal in disease diagnosis and treatment. This paper presents a nove...