Latest AI and machine learning research in pneumonia for healthcare professionals.
BACKGROUND: Radiation pneumonitis (RP) is a serious complication in lung cancer patients with pre-existing interstitial lung disease (ILD) undergoing radiotherapy. Accurate risk stratification is crucial for individualized management. But predictive models integrating multimodal data are lacking. This study aimed to develop a novel machine learning-based nomogram integrating clinical, dosimetric, ...
BACKGROUND: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by diverse presentations, which complicates the identification of consistent biological markers. This study examined whether integrating multimodal neuroimaging and physical-health measures from a population-based cohort can improve ASD classification and reveal interpretable markers that reflect bot...
PURPOSE: Large Language Models (LLMs) are widely used and accessible. We investigate whether publicly available LLMs provide useful, safe, helpful and...
Computational blind challenges offer critical, unbiased opportunities to assess and accelerate scientific progress, as demonstrated by a breadth of br...
Social media discourse has the capacity to influence public perceptions of health-related issues. Understanding how vaccine side effects are discussed...
Underserved communities in the United States continue to face substantial barriers to accessing eye care, leading to preventable vision loss. This rev...
Deep learning-based methods have shown promising results in multi-label chest X-ray (CXR) image classification. However, most existing methods rely on...
The rapid evolution of computational biology has transformed vaccine design from a largely empirical process into a rational, data-driven discipline. ...
Due to the difficulty in quickly discriminating bacterial pneumonia (BPs) from pneumonia caused by other pathogens in clinic, the research for new bio...
The coronavirus disease 2019 (COVID-19) pandemic has stimulated extensive endeavors toward the development of therapeutic interventions targeting seve...
Accurate inference of drowning sites remains a critical challenge in forensic investigations, particularly for corpses recovered from dynamic aquatic ...
Artificial intelligence (AI) is rapidly advancing respiratory disease management, from diagnosis to population lung health. This scoping review synthe...
BACKGROUND: Increased arterial stiffness is a high-risk factor for cardiovascular diseases, making its early identification crucial. Based on data fro...
The identification of frail older adults is a critical public health challenge and a growing priority in geriatric research. Nevertheless, the identif...
BACKGROUND: The integration of deep learning in medical imaging has reached proficiency levels akin to expert clinicians, particularly in tasks requir...
OBJECTIVES: This study identifies predictors of severe COVID-19 following completion of two-dose primary series of the AZD1222 COVID-19 vaccine, emplo...
The operation of the Xiaolangdi Reservoir's intensive water-sediment regulation imposes a significant, pulsed anthropogenic disturbance on the downstr...
INTRODUCTION: Active post-vaccination surveillance is vital for ensuring vaccine safety, particularly in monitoring Adverse Events of Special Interest...
Cancer immunotherapy is increasingly moving toward personalized, precision-based strategies, with cancer vaccines emerging as a promising approach to ...