Pulmonology

Pneumonia

Latest AI and machine learning research in pneumonia for healthcare professionals.

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Temporal insights into ecological community: Advancing waterbird monitoring with dome camera and deep learning.

Biodiversity monitoring is critical for conservation and management. However, efficient species moni...

Predicting cognitive function among Chinese community-dwelling older adults: A supervised machine learning approach.

OBJECTIVE: Identifying cognitive impairment early enough could support timely intervention of cognit...

External validation of a proprietary risk model for 1-year mortality in community-dwelling adults aged 65 years or older.

OBJECTIVE: To examine the discrimination, calibration, and algorithmic fairness of the Epic End of L...

The Chest X- Ray: The Ship has Sailed, But Has It?

In the past, the chest X-ray (CXR) was a traditional age and amount requirement used to assess poten...

[Methodological breakthroughs and challenges in research of soil phage microecology].

Phages, as obligate bacterial and archaeal parasites, constitute a virus group of paramount ecologic...

Clinical trials reimagined: Integrating community engagement and artificial intelligence.

In celebration of Clinical Trials Day, May 20, this collection of Voices highlights visionary perspe...

An anatomically enhanced and clinically validated framework for lung abnormality classification using deep features and KL divergence.

Detecting lung abnormalities via chest X-rays is challenging due to understated tissue variations of...

[Health Equity in Mental Health Care: Challenges for Nurses and Related Preparation].

Individuals with mental illness face significant challenges in achieving health equity due to social...

An informed deep learning model of the Omicron wave and the impact of vaccination.

The Omicron (B.1.1.529) variant of SARS-CoV-2 emerged in November 2021 and has since evolved into mu...

Detection of COVID-19, lung opacity, and viral pneumonia via X-ray using machine learning and deep learning.

The COVID-19 pandemic has significantly strained healthcare systems, highlighting the need for early...

Development and validation of a CT-based radiomics machine learning model for differentiating immune-related interstitial pneumonia.

INTRODUCTION: Immune checkpoint inhibitor-related interstitial pneumonia (CIP) poses a diagnostic ch...

Predicting cognitive frailty in community-dwelling older adults: a machine learning approach based on multidomain risk factors.

Cognitive frailty (CF), a clinical syndrome involving both physical frailty (PF) and impaired cognit...

Groundwater drought and anthropogenic amplifiers: A review of assessment and response strategies in arid and semi-arid areas.

Groundwater drought, a prolonged period of abnormally low groundwater levels, poses a significant th...

Unveiling differential adverse event profiles in vaccines via LLM text embeddings and ontology semantic analysis.

BACKGROUND: Vaccines are crucial for preventing infectious diseases; however, they may also be assoc...

Predicting and interpreting key features of refractory Mycoplasma pneumoniae pneumonia using multiple machine learning methods.

In recent years, the incidence of refractory Mycoplasma pneumoniae pneumonia (RMPP) has significantl...

Responsible artificial intelligence in public health: a Delphi study on risk communication, community engagement and infodemic management.

INTRODUCTION: Artificial intelligence (AI) holds the potential to fundamentally transform how public...

Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites.

The arginine dihydrolase pathway (arc operon) provides a metabolic niche by transforming arginine in...

Optimizing influenza vaccine allocation: A predictive analytics approach for informed public health planning.

PURPOSE: Excessive purchasing of influenza vaccine can lead to costly overages and waste of resource...

Field-Portable Technology for Illicit Drug Discrimination via Deep Learning of Hybridized Reflectance/Fluorescence Spectroscopic Fingerprints.

Novel psychoactive substances (NPS) pose one of the greatest challenges across the illicit drug land...

Metabolomics and machine learning identify urine metabolic characteristics and potential biomarkers for severe Mycoplasma pneumoniae pneumonia.

To study the differences in the urine metabolome between pediatric patients with severe Mycoplasma p...

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