BACKGROUND: Existing machine learning studies for pneumonia mortality prediction are limited by small sample sizes, single-center designs, and lack of comprehensive external validation across diverse healthcare systems. No previous study has systemat...
Pneumonia is a prevalent and serious respiratory disease, responsible for a significant number of cases globally. With advancements in deep learning, the automatic diagnosis of pneumonia has attracted significant research attention in medical image c...
BACKGROUND: Pneumonia is a leading cause of death in under five year olds globally. World Health Organization (WHO) pneumonia diagnostic guidelines rely on non-specific clinical findings. Lung auscultation could improve pneumonia diagnosis, but conve...
BACKGROUND: Pulmonary infections, ranging from mild respiratory issues to severe multiorgan failure, pose a major global health threat. The immune response in community-acquired pneumonia (CAP) and COVID-19 influences disease severity and outcomes, b...
The human microbiome is pivotal in maintaining health and managing diseases. By examining the core microbiome in intensive care units (ICU) patients with pneumonia, we can gain valuable insights into the microbial communities associated with disease ...
Immense progress in synthetic micro-/nanorobots with diverse functionalities has been made for biomedical applications during the last decade. However, there is still a huge gap for miniature robots to realize efficient therapy from in vitro to in vi...
Pulmonary disease can severely impair respiratory function and be life-threatening. Accurately recognizing pulmonary diseases in chest X-ray images is challenging due to overlapping body structures and the complex anatomy of the chest. We propose an ...
Immune checkpoint inhibitors (ICIs) have changed cancer treatment, evoking durable responses in various cancers. However, their immune-mediated mechanisms can lead to unique toxicities known as immune-related adverse events (irAEs), among which ICI-r...
Biomedical physics & engineering express
Aug 5, 2025
Pulmonary diseases have become one of the main reasons for people's health decline, impacting millions of people worldwide. Rapid advancement of deep learning has significantly impacted medical image analysis by improving diagnostic accuracy and effi...
Accurate differential diagnosis of pneumonia remains a challenging task, as different types of pneumonia require distinct treatment strategies. Early and precise diagnosis is crucial for minimizing the risk of misdiagnosis and for effectively guiding...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.