Pneumonia - AI Medical Affairs

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Pulmonology Subcategories: Asthma COPD Cystic Fibrosis Pneumonia Tuberculosis

Showing 1261-1281 of 1,446 articles

FedPneu: Federated Learning for Pneumonia Detection across Multiclient Cross-Silo Healthcare Datasets.

BACKGROUND: Pneumonia is an acute respiratory infection that has emerged as the predominant catalyst...

Jan 2025 39757652

Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques

This paper presents a comprehensive study on the classification and detection of Silicosis-related...

Dec 2024 http://arxiv.org/abs/2501.00520v1

Analyzing Country-Level Vaccination Rates and Determinants of Practical Capacity to Administer COVID-19 Vaccines

The COVID-19 vaccine development, manufacturing, transportation, and administration proved an extr...

Dec 2024 http://arxiv.org/abs/2501.01447v2

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data

This study aims to explore the automatic classification method of pneumonia X-ray images based on ...

Dec 2024 http://arxiv.org/abs/2412.20345v1

Quantifying Public Response to COVID-19 Events: Introducing the Community Sentiment and Engagement Index

This study introduces the Community Sentiment and Engagement Index (CSEI), developed to capture nu...

Dec 2024 http://arxiv.org/abs/2412.16925v1

Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG

Deep learning has advanced medical image classification, but interpretability challenges hinder it...

Dec 2024 http://arxiv.org/abs/2412.16086v2

BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models

Lung diseases represent a significant global health challenge, with Chest X-Ray (CXR) being a key ...

Dec 2024 http://arxiv.org/abs/2412.15670v3

DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching

Medical report generation is crucial for clinical diagnosis and patient management, summarizing di...

Dec 2024 http://arxiv.org/abs/2412.14535v2

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation

Anatomical abnormality detection and report generation of chest X-ray (CXR) are two essential task...

Dec 2024 http://arxiv.org/abs/2412.13599v1

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports

The increasing adoption of AI-generated radiology reports necessitates robust methods for detectin...

Dec 2024 http://arxiv.org/abs/2412.15264v3

The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and Development of Immunofluoresence Imaging Methods

The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researc...

Dec 2024 http://arxiv.org/abs/2412.12965v1

LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input Contexts

Drafting radiology reports is a complex task requiring flexibility, where radiologists tail conten...

Dec 2024 http://arxiv.org/abs/2412.12001v1

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records

The imperative for early detection of type 2 diabetes mellitus (T2DM) is challenged by its asympto...

Dec 2024 http://arxiv.org/abs/2412.10955v1

Generative AI: A Pix2pix-GAN-Based Machine Learning Approach for Robust and Efficient Lung Segmentation

Chest radiography is climacteric in identifying different pulmonary diseases, yet radiologist work...

Dec 2024 http://arxiv.org/abs/2412.10826v1

CoinCLIP: A Multimodal Framework for Assessing Viability in Web3 Memecoins

The rapid growth of memecoins within the Web3 ecosystem, driven by platforms like Pump.fun, has ma...

Dec 2024 http://arxiv.org/abs/2412.07591v2

Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation

AI-generated counterspeech offers a promising and scalable strategy to curb online toxicity throug...

Dec 2024 http://arxiv.org/abs/2412.07338v3

Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation

Radiology report generation (RRG) has shown great potential in assisting radiologists by automatin...

Dec 2024 http://arxiv.org/abs/2412.04606v2

MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting

In medical reporting, the accuracy of radiological reports, whether generated by humans or machine...

Dec 2024 http://arxiv.org/abs/2412.02971v1

Harnessing Multiple Correlated Networks for Exact Community Recovery

We study the problem of learning latent community structure from multiple correlated networks, foc...

Dec 2024 http://arxiv.org/abs/2412.02796v1

Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data

Autism Spectrum Disorder (ASD) is a pervasive developmental disorder of the central nervous system...

Dec 2024 http://arxiv.org/abs/2412.02424v2

Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning

The accurate prediction of B-cell epitopes is critical for guiding vaccine development against inf...

Nov 2024 http://arxiv.org/abs/2412.00109v1