Pulmonology

Multidimensional analysis of clinical pharmacist intervention impact on hospital length of stay in pulmonary tuberculosis: a random forest-driven retrospective study.

Machine learning using entropy-based texture features from MRI to differentiate histological subtypes of non-small cell lung cancer identified as metabolically active on PET/MRI.

Texture analysis is a foundational approach in imaging studies and demonstrates excellent diagnostic...

Atypical Histology in Pulmonary Biopsies Obtained Using Robotic-Assisted Bronchoscopy: Natural History and Clinical Practice.

BACKGROUND: A recent consensus statement recommends that atypical cells are considered nondiagnostic...

LungSurg: A Generative AI System for Segmentation and Phase Classification in Thoracoscopic Lobectomy.

The integration of artificial intelligence (AI) into surgical practices is advancing towards greater...

Noncanonical genetic markers resolve the pre-GOE emergence of aerobic bacteria in Earth's history.

The transition from anaerobic to aerobic life was a pivotal adaptation in Earth's history, yet the t...

Performance validation of a closed loop fully automated AI model for lung nodule stratification in screening cases.

BACKGROUND: Several limitations hinder the effectiveness of human-based lung cancer screening (LCS):...

AI in Patient Care: Evaluating Large Language Model Performance Against Evidence-Based Guidelines for Pulmonary Embolism.

OBJECTIVE: Artificial intelligence (AI)-driven large language models (LLMs) are increasingly used in...

Goals of Care Transitions following Postoperative Undertriage.

BACKGROUND: This study tests the hypothesis that postoperative undertriage of high-acuity patients t...

Iron Oxide-Based Surface-Enhanced Raman Spectroscopy Bioprobes for Detecting Tumor Cells in Serous Effusion.

Serous effusions, including pleural effusion and ascites, commonly occur in advanced cancers like lu...

Artificial intelligence in lung scintigraphy.

Lung scintigraphy is a common nuclear medicine procedure for evaluating pulmonary perfusion and vent...

Improved visualization of pancreas and tumor boundaries using high-frequency kernels with deep-learning image reconstruction at high-strength level.

PURPOSE: This study aimed to investigate the feasibility of combining high-frequency reconstruction ...

Novel Artificial Intelligence Chest X-ray Diagnostics: A Quality Assessment of Their Agreement with Human Doctors in Clinical Routine.

The rising demand for radiology services calls for innovative solutions to sustain diagnostic qualit...

Cost-effectiveness of lung cancer screening: insights from risk stratification, guidelines, and emerging technologies-a systematic review.

Lung cancer is the leading cause of cancer-related mortality worldwide, with most patients diagnosed...

Indoor air quality in primary schools: real-time monitoring and predictive modeling of PM10 in Kenitra, Morocco.

The health of children may be adversely influenced by the air quality in schools because they are mo...

Enhancing Explainability in AI-Based Interstitial Lung Disease Detection via Multi-Class Learning Based on Lesion Areas.

Interstitial lung disease (ILD) comprises a group of lung disorders characterized by inflammation an...

Cell death-related gene signatures as dual-function biomarkers: Early diagnosis and therapeutic targeting in Staphylococcus aureus pneumonia.

BACKGROUND: Staphylococcus aureus (S. aureus) pneumonia constitutes a lethal respiratory infection w...

Leveraging machine learning to predict de novo skin malignancy following lung transplantation.

AIMS: This study aimed to predict post-transplant malignancy risks at multiple levels among lung tra...

Early management of acute heart failure.

PURPOSE OF REVIEW: Acute heart failure (AHF) is a frequent, high-risk emergency department presentat...

Time-Series Machine Learning for Prediction of Bronchopulmonary Dysplasia.

OBJECTIVE: To build a time-series machine learning (ML) model that improves bronchopulmonary dysplas...

Evaluation of an Artificial Intelligence Defined Lung Nodule Malignancy Score in Incidental Pulmonary Nodules: The CREATE Study.

OBJECTIVE: To evaluate the effectiveness of the artificial intelligence-based qXR lung nodule malign...

Machine Learning Integrated Extracellular Vesicle Proteome Analysis For Early Markers Of Bronchopulmonary Dysplasia.

Bronchopulmonary dysplasia (BPD) is a serious and often lethal complication of pre-term birth that t...