Latest AI and machine learning research in pneumonia for healthcare professionals.
BACKGROUND: Society is burdened with stroke-associated pneumonia (SAP) after intracerebral haemorrha...
Medical Visual Question Answering (VQA) is an important task in medical multi-modal Large Language M...
BACKGROUND: The prevalence and severity of pediatric Mycoplasma pneumoniae pneumonia (MPP) poses a s...
PURPOSE: To evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm, previo...
Activated sludge (AS) microbial communities are influenced by various environmental variables. Howev...
Vaccine development stands as a cornerstone of public health efforts, pivotal in curbing infectious ...
Computational biology involves applying computer science and informatics techniques in biology to un...
Community detection in multi-layer networks stands as a prominent subject within network analysis re...
During the COVID-19 pandemic, pneumonia was the leading cause of respiratory failure and death. In a...
Heart failure (HF) is associated with high rates of morbidity and mortality. The value of deep learn...
Soil aggregates are crucial for soil organic carbon (OC) accumulation. This study, utilizing a 32-ye...
The global prevalence of prediabetes is expected to reach 8.3% (587 million people) by 2045, with 70...
This study used machine learning (ML) to predict mental health employees' turnover in the following ...
RATIONALE AND OBJECTIVE: Stroke-associated pneumonia (SAP) often appears as a complication following...
The automatic generation of accurate radiology reports is of great clinical importance and has drawn...
The prevalence of epidemics has been studied by researchers in various fields. In the last 2 years, ...
In tuberculosis (TB), chest radiography (CXR) patterns are highly variable, mimicking pneumonia and ...
There is no doubt that navigating academia is a formidable challenge, particularly for those from un...
As of now, more than 60 years have passed since the first determination of protein structures throug...
This study aimed to develop a new simple and effective prognostic model using artificial intelligenc...
BACKGROUND: The exploration of cancer vaccines has yielded a multitude of studies, resulting in a di...