Latest AI and machine learning research in pneumonia for healthcare professionals.
Community detection is a critical task in graph theory, social network analysis, and bioinformatics, where communities are defined as clusters of densely interconnected nodes. However, detecting communities in large-scale networks with millions of nodes and billions of edges remains challenging due to the inefficiency and unreliability of existing methods. Moreover, many current approaches are l...
Chest X-rays play a pivotal role in diagnosing respiratory diseases such as pneumonia, tuberculosis, and COVID-19, which are prevalent and present unique diagnostic challenges due to overlapping visual features and variability in image quality. Severe class imbalance and the complexity of medical images hinder automated analysis. This study leverages deep learning techniques, including transfer ...
Lower-Limb Fractures (LLF) are a major health concern for older adults, often leading to reduced mobility and prolonged recovery, potentially impair...
Dynamic graph representation learning plays a crucial role in understanding evolving behaviors. However, existing methods often struggle with flexib...
Social AI agents interact with members of a community, thereby changing the behavior of the community. For example, in online learning, an AI social...
Medical vision-language pretraining (VLP) that leverages naturally-paired medical image-report data is crucial for medical image analysis. However, ...
Accurately classifying COVID-19 pneumonia in 3D CT scans remains a significant challenge in the field of medical image analysis. Although determinis...
Lifecycle management of power converters continues to thrive with emerging artificial intelligence (AI) solutions, yet AI mathematical explainabilit...
Medical images and reports offer invaluable insights into patient health. The heterogeneity and complexity of these data hinder effective analysis. ...
Medical image anonymization aims to protect patient privacy by removing identifying information, while preserving the data utility to solve downstre...
The viruses threats provoke concerns regarding their sustained epidemic transmission, making the development of vaccines particularly important. In th...
The COVID-19 pandemic has profoundly impacted billions globally. It challenges public health and healthcare systems due to its rapid spread and seve...
With rapid digitization and digitalization, drawing a fine line between the digital and the physical world has become nearly impossible. It has beco...
We introduce the world's first clinical terminology for the Chinese healthcare community, namely MedCT, accompanied by a clinical foundation model M...
Artificial Intelligence is revolutionizing medical practice, enhancing diagnostic accuracy and healthcare delivery. However, its adaptation in medic...
This study presents a comparative analysis of methods for detecting COVID-19 infection in radiographic images. The images, sourced from publicly ava...
X-ray image based medical report generation achieves significant progress in recent years with the help of the large language model, however, these ...
The aim of the UniProt Knowledgebase (UniProtKB; https://www.uniprot.org/) is to provide users with a comprehensive, high-quality and freely accessibl...
Medical imaging is crucial for diagnosing, monitoring, and treating medical conditions. The medical reports of radiology images are the primary medi...
Deep clustering is an essential task in modern artificial intelligence, aiming to partition a set of data samples into a given number of homogeneous...