Pulmonology

Pneumonia

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

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Showing 1303-1323 of 1,446 articles
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning

Self-supervised learning methods for medical images primarily rely on the imaging modality during ...

Seeing Like an AI: How LLMs Apply (and Misapply) Wikipedia Neutrality Norms

Large language models (LLMs) are trained on broad corpora and then used in communities with specia...

D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions

Large vision language models (VLMs) have progressed incredibly from research to applicability for ...

Through the Looking Glass Darkly: How May AI Models Influence Future Underwriting?

Applications of Artificial Intelligence (AI) deep-learning models to screening for clinical conditio...

Jul 2024 39266001
Efficient Lung Segmentation from Chest Radiographs using Transfer Learning and Lightweight Deep Architecture.

Lung delineation constitutes a critical preprocessing stage for X-ray-based diagnosis and follow-up....

Jul 2024 40039676
Automatic COVID-19 Detection from Chest X-ray using Deep MobileNet Convolutional Neural Network.

As the COVID-19 pandemic has put a strain on healthcare systems around the world, accurate and rapid...

Jul 2024 40039689
Leveraging Vision Transformers for Enhanced Accuracy in Pneumonia Detection from Medical Imaging Data.

Medical image analysis has witnessed a paradigm shift with the advent of artificial intelligence, pa...

Jul 2024 40040104
Multimodal Learning and Cognitive Processes in Radiology: MedGaze for Chest X-ray Scanpath Prediction

Predicting human gaze behavior within computer vision is integral for developing interactive syste...

Consistent community detection in multi-layer networks with heterogeneous differential privacy

As network data has become increasingly prevalent, a substantial amount of attention has been paid...

Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network

Neural networks with relatively shallow layers and simple structures may have limited ability in a...

Development and Validation of a Proximity-based Wearable Computing Testbed for Community-oriented Wearable Systems

In the rapidly evolving digital technology landscape, community-oriented wearable computing system...

HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses.

While significant strides have been made in predicting neoepitopes that trigger autologous CD4+ T ce...

May 2024 38920343
Deep Learning Classification of Usual Interstitial Pneumonia Predicts Outcomes.

Computed tomography (CT) enables noninvasive diagnosis of usual interstitial pneumonia (UIP), but e...

May 2024 38207093
[Identifying Novel Coronavirus Pneumonia With CT Images: A Deep Learning Approach With Detail Upsampling and Attention Guidance].

OBJECTIVE: To construct a deep learning-based target detection method to help radiologists perform r...

Mar 2024 38645853
Artificial Intelligence Approach for Severe Dengue Early Warning System.

Dengue fever is a viral infectious disease transmitted through mosquito bites, and has symptoms rang...

Jan 2024 38269935
Deploying artificial intelligence software in an NHS trust: a how-to guide for clinicians.

Over the past 10 years, artificial intelligence (AI) has become one of the fastest-growing sectors i...

Jan 2024 38263842
Using Large Language Models for sentiment analysis of health-related social media data: empirical evaluation and practical tips.

Health-related social media data generated by patients and the public provide valuable insights into...

Jan 2024 40417506
Enhancement of Fairness in AI for Chest X-ray Classification.

The use of artificial intelligence (AI) in medicine has shown promise to improve the quality of heal...

Jan 2024 40417510
Enhancing Organizing Pneumonia Diagnosis: A Novel Super-token Transformer Approach for Masson Body Segmentation.

BACKGROUND/AIM: In this study, we introduce an innovative deep-learning model architecture aimed at ...

Jan 2024 39187358
Multimodality Risk Assessment of Patients with Ischemic Heart Disease Using Deep Learning Models Applied to Electrocardiograms and Chest X-rays.

Comprehensive management approaches for patients with ischemic heart disease (IHD) are important aid...

Jan 2024 38296576
Hemi-diaphragm detection of chest X-ray images based on convolutional neural network and graphics.

BACKGROUND: Chest X-rays (CXR) are widely used to facilitate the diagnosis and treatment of critical...

Jan 2024 38995761
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