Pulmonology

Pneumonia

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

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VICCA: Visual Interpretation and Comprehension of Chest X-ray Anomalies in Generated Report Without Human Feedback

As artificial intelligence (AI) becomes increasingly central to healthcare, the demand for explain...

Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images

Pneumonia is a leading cause of illness and death in children, underscoring the need for early and...

Community Detection in Large-Scale Complex Networks via Structural Entropy Game

Community detection is a critical task in graph theory, social network analysis, and bioinformatic...

Multimodal Sensor Dataset for Monitoring Older Adults Post Lower-Limb Fractures in Community Settings

Lower-Limb Fractures (LLF) are a major health concern for older adults, often leading to reduced m...

Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs

Dynamic graph representation learning plays a crucial role in understanding evolving behaviors. Ho...

Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification

Accurately classifying COVID-19 pneumonia in 3D CT scans remains a significant challenge in the fi...

Benchmarking Robustness of Contrastive Learning Models for Medical Image-Report Retrieval

Medical images and reports offer invaluable insights into patient health. The heterogeneity and co...

Generative Medical Image Anonymization Based on Latent Code Projection and Optimization

Medical image anonymization aims to protect patient privacy by removing identifying information, w...

VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction.

The viruses threats provoke concerns regarding their sustained epidemic transmission, making the dev...

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Digital Twin for Smart Societies: A Catalyst for Inclusive and Accessible Healthcare

With rapid digitization and digitalization, drawing a fine line between the digital and the physic...

MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation

Artificial Intelligence is revolutionizing medical practice, enhancing diagnostic accuracy and hea...

Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation

X-ray image based medical report generation achieves significant progress in recent years with the...

GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation

Medical imaging is crucial for diagnosing, monitoring, and treating medical conditions. The medica...

Deep Clustering via Community Detection

Deep clustering is an essential task in modern artificial intelligence, aiming to partition a set ...

Language models learn to represent antigenic properties of human influenza A(H3) virus

Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...

CoV-UniBind: A Unified Antibody Binding Database for SARS-CoV-2

Since the emergence of SARS-CoV-2, numerous studies have investigated antibody interactions with vir...

Mapping antigenic evolution of influenza A virus using deep learning-based prediction of hemagglutination inhibition titers

Seasonal influenza remains a significant public health challenge through unpredictable antigenic dri...

Reengineering the antigen optimization process for superior neoantigen vaccine design

Identifying effective neoantigen sequences is essential for enhancing anti-tumor immunity. However, ...

From sequence to scaffold: computational design of protein nanoparticle vaccines from AlphaFold2-predicted building blocks

Self-assembling protein nanoparticles are being increasingly utilized in the design of next-generati...

APDeeM: A machine Learning strategy towards Effective Peptide Vaccine Candidates Identification against Different Types of Viruses

Viral infections pose significant global health challenges, underscoring the urgent need for improve...

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