Pulmonology

Pneumonia

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

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Structuring Radiology Reports: Challenging LLMs with Lightweight Models

Radiology reports are critical for clinical decision-making but often lack a standardized format, ...

Automated Structured Radiology Report Generation

Automated radiology report generation from chest X-ray (CXR) images has the potential to improve c...

DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification

While Multi-Task Learning (MTL) offers inherent advantages in complex domains such as medical imag...

Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning

Artificial intelligence (AI)-based chest X-ray (CXR) interpretation assistants have demonstrated s...

Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis

The development of large-scale image-text pair datasets has significantly advanced self-supervised...

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...

May 2025 40262251
Multimodal Federated Learning With Missing Modalities through Feature Imputation Network

Multimodal federated learning holds immense potential for collaboratively training models from mul...

Community Moderation and the New Epistemology of Fact Checking on Social Media

Social media platforms have traditionally relied on internal moderation teams and partnerships wit...

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs

Medical Large Vision-Language Models (Med-LVLMs) have been widely adopted for medical report gener...

Benchmarking Early Agitation Prediction in Community-Dwelling People with Dementia Using Multimodal Sensors and Machine Learning

Agitation is one of the most common responsive behaviors in people living with dementia, particula...

CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays

Recent progress in Large Vision-Language Models (LVLMs) has enabled promising applications in medi...

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...

May 2025 40410898
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...

May 2025 40410245
Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays

Unsupervised anomaly detection (UAD) in medical imaging is crucial for identifying pathological ab...

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph

Medical deep learning models depend heavily on domain-specific knowledge to perform well on knowle...

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports

We present a novel approach to Chest X-ray (CXR) Visual Question Answering (VQA), addressing both ...

CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation

Existing metrics often lack the granularity and interpretability to capture nuanced clinical diffe...

Benchmarking Chest X-ray Diagnosis Models Across Multinational Datasets

Foundation models leveraging vision-language pretraining have shown promise in chest X-ray (CXR) i...

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...

May 2025 39520176
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