Pulmonology

Breath Analyzer for Real-Time Exercise Fat Burning Prediction: Oral and Alveolar Breath Insights with CNN.

The increasing prevalence of obesity and metabolic disorders has created a significant demand for pe...

Predicting the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms.

BACKGROUND: This study aimed to develop predictive models with robust generalization capabilities fo...

Integrating machine learning with bioinformatics for predicting idiopathic pulmonary fibrosis prognosis: developing an individualized clinical prediction tool.

Idiopathic pulmonary fibrosis (IPF) is a chronic interstitial lung disease with a poor prognosis. It...

Artificial intelligence in respiratory care.

The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives...

Artificial intelligence in lung cancer: current applications, future perspectives, and challenges.

Artificial intelligence (AI) has significantly impacted various fields, including oncology. This com...

An optimized support vector machine for lung cancer classification system.

INTRODUCTION: Lung cancer is one of the main causes of the rising death rate among the expanding pop...

Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion.

OBJECTIVE: To assess whether CT style conversion between different CT vendors using a routable gener...

Machine learning analysis of CD4+ T cell gene expression in diverse diseases: insights from cancer, metabolic, respiratory, and digestive disorders.

CD4 T cells play a pivotal role in the immune system, particularly in adaptive immunity, by orchestr...

Automated measurement of cardiothoracic ratio based on semantic segmentation integration model using deep learning.

The objective of this study is to investigate the efficacy of the semantic segmentation model in pre...

Empirical Comparison and Analysis of Artificial Intelligence-Based Methods for Identifying Phosphorylation Sites of SARS-CoV-2 Infection.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a member of the large coronavirus fa...

Artificial neural network systems to predict the response to sintilimab in squamous-cell non-small-cell lung cancer based on data of ORIENT-3 study.

BACKGROUND: Existing biomarkers and models for predicting response to programmed cell death protein ...

Artificial intelligence in pediatric allergy research.

UNLABELLED: Atopic dermatitis, food allergy, allergic rhinitis, and asthma are among the most common...

Silent Signals: Advancing Incidental Lung Nodule Screening Through Artificial Intelligence Innovation.

Diagnostic accuracy of texture analysis applied to T- and T-Relaxation maps for liver fibrosis classification via machine-learning algorithms with liver histology as reference standard.

OBJECTIVES: To explore texture analysis' ability on T and T relaxation maps to classify liver fibros...

The Role of ctDNA in the Management of Non-Small-Cell Lung Cancer in the AI and NGS Era.

Liquid biopsy (LB) involves the analysis of circulating tumour-derived DNA (ctDNA), providing a mini...

Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning.

BACKGROUND: Liver injury from drug-drug interactions (DDIs), notably with anti-tuberculosis drugs su...

Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study.

BACKGROUND: Traditional rule-based natural language processing approaches in electronic health recor...

Optimizing convolutional neural networks for Chronic Obstructive Pulmonary Disease detection in clinical computed tomography imaging.

We aim to optimize the binary detection of Chronic Obstructive Pulmonary Disease (COPD) based on emp...

A novel case-based reasoning system for explainable lung cancer diagnosis.

Lung cancer is a leading cause of cancer death worldwide. The survival rate is generally higher when...

Diagnostic Accuracy of Artificial Intelligence-Based Chest X-Ray reading for screening of Tuberculosis.

BACKGROUND: Tuberculosis remains a public health challenge in Nepal and ranks as the seventh leading...

A Machine Learning-Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study.

BACKGROUND: Acute kidney injury (AKI) is common in patients with community-acquired pneumonia (CAP) ...