Pulmonology

Pneumonia

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

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CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding

Vision-language models have proven to be of great benefit for medical image analysis since they le...

Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation

Automated radiology report generation offers an effective solution to alleviate radiologists' work...

Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures

The COVID-19 pandemic strained healthcare resources and prompted discussion about how machine lear...

Anatomical grounding pre-training for medical phrase grounding

Medical Phrase Grounding (MPG) maps radiological findings described in medical reports to specific...

CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report Summarization

A radiology report comprises several sections, including the Findings and Impression of the diagno...

Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation

Multimodal Large Language Models (MLLMs) have shown impressive performance in vision and text task...

Enhancing Chest X-ray Classification through Knowledge Injection in Cross-Modality Learning

The integration of artificial intelligence in medical imaging has shown tremendous potential, yet ...

MaxSup: Overcoming Representation Collapse in Label Smoothing

Label Smoothing (LS) is widely adopted to curb overconfidence in neural network predictions and en...

ProMRVL-CAD: Proactive Dialogue System with Multi-Round Vision-Language Interactions for Computer-Aided Diagnosis

Recent advancements in large language models (LLMs) have demonstrated extraordinary comprehension ...

Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models

Motivation: An adjuvant is a chemical incorporated into vaccines that enhances their efficacy by i...

The Devil is in the Prompts: De-Identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray Generation

Generative models, particularly text-to-image (T2I) diffusion models, play a crucial role in medic...

The Human Labour of Data Work: Capturing Cultural Diversity through World Wide Dishes

This paper provides guidance for building and maintaining infrastructure for participatory AI effo...

A Generative Framework for Bidirectional Image-Report Understanding in Chest Radiography

The rapid advancements in large language models (LLMs) have unlocked their potential for multimoda...

Chest X-ray Foundation Model with Global and Local Representations Integration

Chest X-ray (CXR) is the most frequently ordered imaging test, supporting diverse clinical tasks f...

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function

In this work, we present a novel approach to multi-label chest X-ray (CXR) image classification th...

RadVLM: A Multitask Conversational Vision-Language Model for Radiology

The widespread use of chest X-rays (CXRs), coupled with a shortage of radiologists, has driven gro...

CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models

Deep learning models for medical image classification tasks are becoming widely implemented in AI-...

MedRAX: Medical Reasoning Agent for Chest X-ray

Chest X-rays (CXRs) play an integral role in driving critical decisions in disease management and ...

Machine Learning Model Predictors of Intrapleural Tissue Plasminogen Activator and DNase Failure in Pleural Infection: A Multicenter Study.

Intrapleural enzyme therapy (IET) with tissue plasminogen activator (tPA) and DNase has been shown ...

Feb 2025 39471322
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