Latest AI and machine learning research in pneumonia for healthcare professionals.
Social media platforms have traditionally relied on internal moderation teams and partnerships with independent fact-checking organizations to identify and flag misleading content. Recently, however, platforms including X (formerly Twitter) and Meta have shifted towards community-driven content moderation by launching their own versions of crowd-sourced fact-checking -- Community Notes. If effec...
Cognitive frailty (CF), a clinical syndrome involving both physical frailty (PF) and impaired cognition (IC), is associated with adverse health outcomes in older adults. This study aimed to identify key predictors of CF and develop a machine learning-based model for CF risk assessment using data from 2404 community-dwelling older adults in the Korean Frailty and Aging Cohort Study (2016-2017). PF ...
Groundwater drought, a prolonged period of abnormally low groundwater levels, poses a significant threat to the environment, society, and economy. Dro...
Medical Large Vision-Language Models (Med-LVLMs) have been widely adopted for medical report generation. Despite Med-LVLMs producing state-of-the-ar...
Agitation is one of the most common responsive behaviors in people living with dementia, particularly among those residing in community settings wit...
Recent progress in Large Vision-Language Models (LVLMs) has enabled promising applications in medical tasks, such as report generation and visual qu...
BACKGROUND: Vaccines are crucial for preventing infectious diseases; however, they may also be associated with adverse events (AEs). Conventional anal...
INTRODUCTION: Artificial intelligence (AI) holds the potential to fundamentally transform how public health authorities use risk communication, commun...
In recent years, the incidence of refractory Mycoplasma pneumoniae pneumonia (RMPP) has significantly risen, posing severe pulmonary and extrapulmonar...
Unsupervised anomaly detection (UAD) in medical imaging is crucial for identifying pathological abnormalities without requiring extensive labeled da...
Medical deep learning models depend heavily on domain-specific knowledge to perform well on knowledge-intensive clinical tasks. Prior work has prima...
We present a novel approach to Chest X-ray (CXR) Visual Question Answering (VQA), addressing both single-image image-difference questions. Single-im...
Existing metrics often lack the granularity and interpretability to capture nuanced clinical differences between candidate and ground-truth radiolog...
Advanced diagnostic instruments are crucial for the accurate detection and treatment of lung diseases, which affect millions of individuals globally...
Foundation models leveraging vision-language pretraining have shown promise in chest X-ray (CXR) interpretation, yet their real-world performance ac...
The extraction of visual features is an essential step in Visual Question Answering (VQA). Building a good visual representation of the analyzed sce...
PURPOSE: Excessive purchasing of influenza vaccine can lead to costly overages and waste of resources. Insufficient quantities, however, can jeopardiz...
The arginine dihydrolase pathway (arc operon) provides a metabolic niche by transforming arginine into metabolic byproducts. We investigate the role o...
Drug discovery is fundamentally a process of inferring the effects of treatments on patients, and would therefore benefit immensely from computation...
Drug discovery is fundamentally a process of inferring the effects of treatments on patients, and would therefore benefit immensely from computation...