Pulmonology

Pneumonia

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

1,442 articles
Stay Ahead - Weekly Pneumonia research updates
Subscribe
Browse Categories
Showing 1198-1218 of 1,442 articles
Utilising Machine Learning for Better Mental Health and Decision Making: A Case Study of Timebanking UK.

This study explores how the integration of predictive models with machine learning and natural langu...

Allocation of Oral Cholera Vaccines in Africa.

OBJECTIVES: In this study, we examine the allocation of oral cholera vaccines (OCVs) across 25 Afric...

An oral norovirus vaccine generates mucosal immunity and reduces viral shedding in a phase 2 placebo-controlled challenge study.

There are currently no licensed vaccines for norovirus, a leading cause of epidemic and endemic gast...

Indirect Detection of Swine Influenza Activity in Porcine Blood Using Raman Spectroscopy and Machine Learning.

Over the past decade, several swine influenza variants, including H1N1 and H1N2, have been periodica...

Development and validation of an early diagnosis model for severe mycoplasma pneumonia in children based on interpretable machine learning.

BACKGROUND: Pneumonia is a major threat to the health of children, especially those under the age of...

Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory.

Corticosteroids decrease the duration of organ dysfunction in sepsis and a range of overlapping and ...

AI-Based Quantitative CT Analysis of Temporal Changes According to Disease Severity in COVID-19 Pneumonia.

OBJECTIVE: To quantitatively evaluate computed tomography (CT) parameters of coronavirus disease 201...

Prognostic Value of the Brixia Radiological Score in COVID-19 Patients: A Retrospective Study from Romania.

The novel coronavirus pandemic, SARS-CoV-2, has a variable clinical spectrum, ranging from asymptoma...

Association of risk factors with mental illness in a rural community: insights from machine learning models.

BACKGROUND: Mental health conditions, particularly depression and anxiety, are highly prevalent and ...

The Accuracy of ChatGPT-4o in Interpreting Chest and Abdominal X-Ray Images.

Large language models (LLMs), such as ChatGPT, have emerged as potential clinical support tools to ...

Application of in-silico approaches in subunit vaccines: Overcoming the challenges of antigen and adjuvant development.

Subunit vaccines are crucial in preventing modern diseases due to their safety, stability, and abili...

Chest X-Ray Visual Saliency Modeling: Eye-Tracking Dataset and Saliency Prediction Model.

Radiologists' eye movements during medical image interpretation reflect their perceptual-cognitive p...

Leveraging large language models to compare perspectives on integrating QSP and AI/ML.

Two recent papers offer contrasting perspectives on integrating Quantitative Systems Pharmacology (Q...

A Dataset for Understanding Radiologist-Artificial Intelligence Collaboration.

This dataset, Collab-CXR, provides a unique resource to study human-AI collaboration in chest X-ray ...

Predicting Respiratory Disease Mortality Risk Using Open-Source AI on Chest Radiographs in an Asian Health Screening Population.

Purpose To assess the prognostic value of an open-source deep learning-based chest radiographs algor...

Predicting Progression to Dementia Using Auditory Verbal Learning Test in Community-Dwelling Older Adults Based On Machine Learning.

BACKGROUND: Primary healthcare institutions find identifying individuals with dementia particularly ...

The Unified Phenotype Ontology : a framework for cross-species integrative phenomics.

Phenotypic data are critical for understanding biological mechanisms and consequences of genomic var...

Diagnostic Accuracy and Clinical Value of a Domain-specific Multimodal Generative AI Model for Chest Radiograph Report Generation.

Background Generative artificial intelligence (AI) is anticipated to alter radiology workflows, requ...

Browse Categories