Pulmonology

Letter to the Editor: "Development and Validation of a Deep Learning Ultrasound Radiomics Model for Predicting Drug Resistance in Lymph Node Tuberculosis a Multicenter Study".

Letter to the editor: multichannel deep learning prediction of major pathological response after neoadjuvant immunochemotherapy in lung cancer: a multicenter diagnostic study.

Development and validation of machine learning-based risk prediction models for ICU-acquired weakness: a prospective cohort study.

BACKGROUND: Intensive care unit (ICU)-acquired weakness (ICUAW) is a prevalent complication in criti...

Identifying Adsorption States of OER Intermediates on Single-Atom Catalysts via a Spectral Machine Learning Framework.

Identifying the adsorption states of intermediates in the oxygen evolution reaction (OER) is crucial...

Ambulatory physiological state dynamics predict proximal behavioral markers of affect regulation in everyday life.

Human physiology reflects the body's capacity for self-regulation that is crucial for flexible adapt...

Deep learning for pediatric chest x-ray diagnosis: Repurposing a commercial tool developed for adults.

The number of commercially available artificial intelligence (AI) tools to support radiological work...

A 23-gene multi-omics signature predicts prognosis and treatment response in non-small cell lung cancer.

R WE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 20.

In this update, we examine Canada's Drug Agency position statement on artificial intelligence in evi...

Lysophospholipid metabolism, clinical characteristics, and artificial intelligence-based quantitative assessments of chest CT in patients with stable COPD and healthy smokers.

The specific role of lysophospholipids (LysoPLs) in the pathogenesis of chronic obstructive pulmonar...

MDNCT: a multi-domain neurocognitive transformer architecture approach for early prediction of autism spectrum disorders.

Intellectual disability (ID) refers to a disorder involving intelligence and adaptive behavior that ...

Development and validation of a nomogram model to predict postoperative delirium after resection of esophageal cancer.

The study aimed to establish and validate a nomogram model to predict postoperative delirium (POD) a...

AI-Assisted Semiquantitative Measurement of Murine Bleomycin-Induced Lung Fibrosis Using In Vivo Micro-CT: An End-to-End Approach.

Small animal models are crucial for investigating idiopathic pulmonary fibrosis (IPF) and developing...

Dual-Mode Ratiometric ESIPT Probes for Vapor-Phase Detection of a Pulmonary Agent: Leveraging Machine Learning for High-Precision Quantitative Analysis.

The present work reports design and synthesis of two benzimidazole based ESIPT probes with variable ...

Artificial intelligence platform to predict children's hospital care for respiratory disease using clinical, pollution, and climatic factors.

BACKGROUND: Hospitals and health care systems may benefit from artificial intelligence (AI) and big ...

Mucociliary Clearance Inspired Nanozyme-centric Hydrogel Composites for Integrated Bacterial Detection.

The rapid movement of populations has led to the transmission and infection of pathogens, imposing a...

Artificial intelligence in smartphone video analysis for equine asthma diagnostic support.

BACKGROUND: Equine asthma is a prevalent respiratory disease that negatively impacts horses' health ...

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...

Effect of arc length on the deep learning prediction of monitor units in lung stereotactic ablative radiation therapy treatment.

INTRODUCTION: The dose magnitude required to fine-tune radiation in multi-lesion stereotactic ablati...

Computer vision to predict cell seeding coverage in re-endothelialized mouse lungs.

Transplantation of donor grafts recellularized with recipient-derived or non-immunogenic universal c...

Plasma proteomics for biomarker discovery in childhood tuberculosis.

Failure to rapidly diagnose tuberculosis disease (TB) and initiate treatment is a driving factor of ...

Risk assessment and interventions for malignant ground-glass lung nodules.

Pulmonary ground-glass nodules (GGNs) have become a major problem owing to their high frequency, lim...