Pulmonology

Pneumonia

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

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Personalized Longitudinal Medical Report Generation via Temporally-Aware Federated Adaptation

Longitudinal medical report generation is clinically important yet remains challenging due to strict...

Obscuration to Clarity: Bone Suppression for Enhanced Localization in Pneumothorax Segmentation of Chest Radiographs

Chest radiography (CXR) is a primary modality for assessing cardiopulmonary conditions, but its effe...

Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation

Radiology Report Generation (RRG) through Vision-Language Models (VLMs) promises to reduce documenta...

Metagenomic strain tracking reveals patterns of bacterial spread and the impact of water chlorination

Bacterial infections are a major cause of morbidity and mortality among children under five in low- ...

GeneReL: A Large Language Model-Powered Platform for Gene Regulatory Relationship Extraction with Community Curation

Motivation: Gene regulatory networks provide fundamental insights into plant biology, yet extracting...

Stride-Net: Fairness-Aware Disentangled Representation Learning for Chest X-Ray Diagnosis

Deep neural networks for chest X-ray classification achieve strong average performance, yet often un...

The role of self-supervised pretraining in differentially private medical image analysis

Differential privacy (DP) provides formal protection for sensitive data but typically incurs substan...

Scaling medical imaging report generation with multimodal reinforcement learning

Frontier models have demonstrated remarkable capabilities in understanding and reasoning with natura...

MATEX: Multi-scale Attention and Text-guided Explainability of Medical Vision-Language Models

We introduce MATEX (Multi-scale Attention and Text-guided Explainability), a novel framework that ad...

UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation

Despite recent progress, medical foundation models still struggle to unify visual understanding and ...

ChartComplete: A Taxonomy-based Inclusive Chart Dataset

With advancements in deep learning (DL) and computer vision techniques, the field of chart understan...

Predicting Body Composition from Chest Radiographs by Deep Learning: 10-year Mortality and Geriatric Outcomes

BackgroundBody composition strongly influences clinical outcomes in older adults, yet body mass inde...

Explainable Deep Learning for Pediatric Pneumonia Detection in Chest X-Ray Images

Background: Pneumonia remains a leading cause of morbidity and mortality among children worldwide, e...

Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.

Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination ...

Dec 2025 40358138
Mapping the landscape of AI and ML in vaccine innovation: A bibliometric study.

With the rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies, t...

Dec 2025 40376848
The butterfly effect in neural networks: Unveiling hyperbolic chaos through parameter sensitivity.

Neural networks often excel in short-horizon tasks, but their long-term reliability is less assured....

Sep 2025 40382992
Decoding virulence and resistance in Klebsiella pneumoniae: Pharmacological insights, immunological dynamics, and in silico therapeutic strategies.

Klebsiella pneumoniae (K. pneumoniae) has become a serious global health concern due to its rising v...

Aug 2025 40355055
Machine learning-based approaches for distinguishing viral and bacterial pneumonia in paediatrics: A scoping review.

BACKGROUND AND OBJECTIVE: Pneumonia is the leading cause of hospitalisation and mortality among chil...

Aug 2025 40349546
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