Pulmonology

Pneumonia

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

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ViT-GCN: a novel hybrid model for accurate pneumonia diagnosis from x-ray images.

This study aims to enhance the accuracy of pneumonia diagnosis from x-ray images by developing a mod...

Systematic measurement and machine learning-based profile characterization of community noise in a medium-large city in the United States.

BACKGROUND: Community noise pollution can adversely impact health, yet noise has rarely been systema...

Beyond Adverse Childhood Experiences: What Should be Considered for Trauma-Focused Adolescent Mental Health Risk Assessments?

To align with emerging policies for adolescents, feasible, accurate, and equitable trauma-focused as...

Using Convolutional Neural Networks for the Classification of Suboptimal Chest Radiographs.

INTRODUCTION: Chest X-rays (CXR) rank among the most conducted X-ray examinations. They often requir...

Self-Disclosure and Social Support in a Web-Based Opioid Recovery Community: Machine Learning Analysis.

BACKGROUND: The opioid crisis remains a critical public health challenge, with opioid use disorder (...

FLPneXAINet: Federated deep learning and explainable AI for improved pneumonia prediction utilizing GAN-augmented chest X-ray data.

Pneumonia, a severe lung infection caused by various viruses, presents significant challenges in dia...

Collaborative Integration of AI and Human Expertise to Improve Detection of Chest Radiograph Abnormalities.

Purpose To develop a collaborative AI system that integrates eye gaze data and radiology reports to...

Utilizing CBNet to effectively address and combat cyberbullying among university students on social media platforms.

Cyberbullying can profoundly impact individuals' mental health, leading to increased feelings of anx...

Event-based Stereo Depth Estimation: A Survey.

Stereopsis has widespread appeal in computer vision and robotics as it is the predominant way by whi...

RadientFusion-XR: A Hybrid LBP-HOG Model for COVID-19 Detection Using Machine Learning.

The rapid and accurate detection of COVID-19 (coronavirus disease 2019) from normal and pneumonia ch...

Theory-based chatbot for promoting colorectal cancer screening in a community setting in Hong Kong: study protocol of a randomised controlled trial.

BACKGROUND: Colorectal cancer (CRC) is the third most common cancer and the second leading cause of ...

Prediction and characterisation of the human B cell response to a heterologous two-dose Ebola vaccine.

Ebola virus disease (EVD) outbreaks are increasing, posing significant threats to affected communiti...

Machine learning approaches to dissect hybrid and vaccine-induced immunity.

BACKGROUND: The spread of SARS-CoV-2 Omicron variant and its subvariants, highly transmissible but r...

Predicting SARS-CoV-2-specific CD4 and CD8 T-cell responses elicited by inactivated vaccines in healthy adults using machine learning models.

The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highl...

Unveiling Quality of Life Factors for the Elderly: A Public Health Nursing Approach Enhanced by Advanced ML and DL Techniques.

Community health nurses can enhance the elderly's quality of life (QoL) through personalized care, l...

Multi-kingdom microbiota analysis reveals bacteria-viral interplay in IBS with depression and anxiety.

Irritable Bowel Syndrome (IBS) is a common gastrointestinal disorder frequently accompanied by psych...

Dual-Branch Attention Fusion Network for Pneumonia Detection.

Pneumonia, as a serious respiratory disease caused by bacterial, viral or fungal infections, is an i...

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