Pulmonology

Pneumonia

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

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RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation

Radiology report generation (RRG) has emerged as a promising approach to alleviate radiologists' wor...

Scalable machine learning improves resistance prediction and identifies novel determinants in Mycobacterium tuberculosis

Multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis (MTB) represents a gro...

ProtoCLIP: Prototype-Aligned Latent Refinement for Robust Zero-Shot Chest X-Ray Classification

Zero-shot vision-language models (VLMs) have shown promise for chest radiograph classification, but ...

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification

Chest X-ray (CXR) interpretation is hindered by the long-tailed distribution of pathologies and the ...

Community needs for FAIR pathogen data

Background: Datasets related to infectious diseases are essential for public health decision-making,...

CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability

Pneumonia remains a leading cause of childhood mortality worldwide, with a heavy burden in low-resou...

Fall Risk and Gait Analysis in Community-Dwelling Older Adults using World-Spaced 3D Human Mesh Recovery

Gait assessment is a key clinical indicator of fall risk and overall health in older adults. However...

Using Synthetic Data for Machine Learning-based Childhood Vaccination Prediction in Narok, Kenya

Background: Limited data utilization in low-resource settings poses a barrier to the vaccine deliver...

Predictive Entropy Links Calibration and Paraphrase Sensitivity in Medical Vision-Language Models

Medical Vision Language Models VLMs suffer from two failure modes that threaten safe deployment mis ...

ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion

Chest X-ray report generation (CXR-RG) has the potential to substantially alleviate radiologists' wo...

XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis

Chest X-ray (CXR) interpretation is a fundamental yet complex clinical task that increasingly relies...

RVLM: Recursive Vision-Language Models with Adaptive Depth

Medical AI systems face two fundamental limitations. First, conventional vision-language models (VLM...

AI-Assisted Pneumonia Detection, Localisation and Report Generation from Chest X-rays

Purpose: Pneumonia detection in chest X-rays (CXRs) is complicated by high inter-observer variabilit...

Consistent but Dangerous: Per-Sample Safety Classification Reveals False Reliability in Medical Vision-Language Models

Consistency under paraphrase, the property that semantically equivalent prompts yield identical pred...

LoFi: Location-Aware Fine-Grained Representation Learning for Chest X-ray

Fine-grained representation learning is crucial for retrieval and phrase grounding in chest X-rays, ...

Instruction-Free Tuning of Large Vision Language Models for Medical Instruction Following

Large vision language models (LVLMs) have demonstrated impressive performance across a wide range of...

Grounded Multimodal Retrieval-Augmented Drafting of Radiology Impressions Using Case-Based Similarity Search

Automated radiology report generation has gained increasing attention with the rise of deep learning...

CompDiff: Hierarchical Compositional Diffusion for Fair and Zero-Shot Intersectional Medical Image Generation

Generative models are increasingly used to augment medical imaging datasets for fairer AI. Yet a key...

Clinically Aware Synthetic Image Generation for Concept Coverage in Chest X-ray Models

The clinical deployment of AI diagnostic models demands more than benchmark accuracy - it demands ro...

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