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Pulmonology Subcategories: Asthma COPD Cystic Fibrosis Pneumonia Tuberculosis

Showing 1135-1155 of 1,446 articles

LVMed-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation

Large vision-language models (LVMs) hold a great promise for automating medical report generation,...

Apr 2025 http://arxiv.org/abs/2504.02885v1

A Scalable Predictive Modelling Approach to Identifying Duplicate Adverse Event Reports for Drugs and Vaccines

The practice of pharmacovigilance relies on large databases of individual case safety reports to d...

Mar 2025 http://arxiv.org/abs/2504.03729v1

Autonomous AI for Multi-Pathology Detection in Chest X-Rays: A Multi-Site Study in the Indian Healthcare System

Study Design: The study outlines the development of an autonomous AI system for chest X-ray (CXR) ...

Mar 2025 http://arxiv.org/abs/2504.00022v2

Unpaired Translation of Chest X-ray Images for Lung Opacity Diagnosis via Adaptive Activation Masks and Cross-Domain Alignment

Chest X-ray radiographs (CXRs) play a pivotal role in diagnosing and monitoring cardiopulmonary di...

Mar 2025 http://arxiv.org/abs/2503.19860v1

Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classification

Background: Lung disease is a significant health issue, particularly in children and elderly indiv...

Mar 2025 http://arxiv.org/abs/2503.18973v1

VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation

Recent advancements in Large Language Models (LLMs) have significantly improved text generation ca...

Mar 2025 http://arxiv.org/abs/2503.09103v1

Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis

As recent text-conditioned diffusion models have enabled the generation of high-quality images, co...

Mar 2025 http://arxiv.org/abs/2503.08346v1

AI for Just Work: Constructing Diverse Imaginations of AI beyond "Replacing Humans"

The AI community usually focuses on "how" to develop AI techniques, but lacks thorough open discus...

Mar 2025 http://arxiv.org/abs/2503.08720v1

Unleashing the Potential of Large Language Models for Text-to-Image Generation through Autoregressive Representation Alignment

We present Autoregressive Representation Alignment (ARRA), a new training framework that unlocks g...

Mar 2025 http://arxiv.org/abs/2503.07334v2

Multimodal Human-AI Synergy for Medical Imaging Quality Control: A Hybrid Intelligence Framework with Adaptive Dataset Curation and Closed-Loop Evaluation

Medical imaging quality control (QC) is essential for accurate diagnosis, yet traditional QC metho...

Mar 2025 http://arxiv.org/abs/2503.07032v1

FMT:A Multimodal Pneumonia Detection Model Based on Stacking MOE Framework

Artificial intelligence has shown the potential to improve diagnostic accuracy through medical ima...

Mar 2025 http://arxiv.org/abs/2503.05626v1

RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

Developing advanced medical imaging retrieval systems is challenging due to the varying definition...

Mar 2025 http://arxiv.org/abs/2503.04653v1

To Vaccinate or not to Vaccinate? Analyzing $\mathbb{X}$ Power over the Pandemic

The COVID-19 pandemic has profoundly affected the normal course of life -- from lock-downs and vir...

Mar 2025 http://arxiv.org/abs/2503.02563v1

X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning

Computed tomography (CT) is a key imaging modality for diagnosis, yet its clinical utility is marr...

Mar 2025 http://arxiv.org/abs/2503.02162v2

Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks

According to the World Health Organization (WHO), pneumonia is a disease that causes a significant...

Mar 2025 http://arxiv.org/abs/2503.02906v1

OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment

Contrastive Language-Image Pre-Training (CLIP) has enabled zero-shot classification in radiology, ...

Mar 2025 http://arxiv.org/abs/2503.01794v1

Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images

Expert radiologists visually scan Chest X-Ray (CXR) images, sequentially fixating on anatomical st...

Mar 2025 http://arxiv.org/abs/2503.00657v1

Diagnostic Accuracy and Clinical Value of a Domain-specific Multimodal Generative AI Model for Chest Radiograph Report Generation.

Background Generative artificial intelligence (AI) is anticipated to alter radiology workflows, requ...

Mar 2025 40131111

PaliGemma-CXR: A Multi-task Multimodal Model for TB Chest X-ray Interpretation

Tuberculosis (TB) is a infectious global health challenge. Chest X-rays are a standard method for ...

Feb 2025 http://arxiv.org/abs/2503.00171v1

A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness Under the Test-Negative Design: Analysis of Québec Administrative Data.

The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiv...

Feb 2025 39985144

LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces

We introduce the Local Intersectional Visual Spaces (LIVS) dataset, a benchmark for multi-criteria...

Feb 2025 http://arxiv.org/abs/2503.01894v2