Pulmonology

Pneumonia

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

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Prototype-Based Knowledge Guidance for Fine-Grained Structured Radiology Reporting

Structured radiology reporting promises faster, more consistent communication than free text, but au...

Fine-scale environmental, genetic, and temporal factors can drive the coral, sediment, and water column metagenome on reefs

Understanding the stability of microbial community assembly on coral reefs is crucial for determinin...

Data-Driven Priors for Uncertainty-Aware Deterioration Risk Prediction with Multimodal Data

Safe predictions are a crucial requirement for integrating predictive models into clinical decision ...

The Impact of Preprocessing Methods on Racial Encoding and Model Robustness in CXR Diagnosis

Deep learning models can identify racial identity with high accuracy from chest X-ray (CXR) recordin...

Rethinking the Efficiency and Effectiveness of Reinforcement Learning for Radiology Report Generation

Radiologists highly desire fully automated AI for radiology report generation (R2G), yet existing ap...

Mask-Guided Attention Regulation for Anatomically Consistent Counterfactual CXR Synthesis

Counterfactual generation for chest X-rays (CXR) aims to simulate plausible pathological changes whi...

Loss Design and Architecture Selection for Long-Tailed Multi-Label Chest X-Ray Classification

Long-tailed class distributions pose a significant challenge for multi-label chest X-ray (CXR) class...

Leveraging large language models to address common vaccination myths and misconceptions

Large language models (LLMs) are increasingly used by the public to seek health information, yet the...

t2pmhc: A Structure-Informed Graph Neural Network to predict TCR-pMHC Binding

Mapping of T cell receptors (TCRs) to their cognate MHC-presented peptides (pMHC) is central for the...

When Does Multimodal Learning Help in Healthcare? A Benchmark on EHR and Chest X-Ray Fusion

Machine learning holds promise for advancing clinical decision support, yet it remains unclear when ...

Suppressing Prior-Comparison Hallucinations in Radiology Report Generation via Semantically Decoupled Latent Steering

Automated radiology report generation using vision-language models (VLMs) is limited by the risk of ...

A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification

Despite advances in machine learning-based medical image classifiers, the safety and reliability of ...

A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling

Foundation models for medical imaging are typically pretrained on increasingly large datasets, follo...

Following the Diagnostic Trace: Visual Cognition-guided Cooperative Network for Chest X-Ray Diagnosis

Computer-aided diagnosis (CAD) has significantly advanced automated chest X-ray diagnosis but remain...

Overview of the 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 ...

PSF-Med: Measuring and Explaining Paraphrase Sensitivity in Medical Vision Language Models

Medical Vision Language Models (VLMs) can change their answers when clinicians rephrase the same que...

Causal Decoding for Hallucination-Resistant Multimodal Large Language Models

Multimodal Large Language Models (MLLMs) deliver detailed responses on vision-language tasks, yet re...

Automated Model Discovery Based on COVID-19 Epidemiologic Data

The COVID-19 pandemic has presented severe challenges in understanding and predicting the spread of ...

LUMEN: Longitudinal Multi-Modal Radiology Model for Prognosis and Diagnosis

Large vision-language models (VLMs) have evolved from general-purpose applications to specialized us...

Genomic Evolution of SARS-CoV-2 Delta Variants Pre- and Post-Omicron Emergence using Alignment-free Machine Learning models

The SARS-CoV-2 Delta variant (B.1.617.2), initially classified as a variant of concern due to its en...

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