Pulmonology

Assessment of elemental decomposition algorithms for particle therapy dose monitoring using positron emission tomography and prompt-gamma imaging.

Accurate dose verification remains a major challenge in particle therapy. Dose monitoring methods su...

Enhanced lung cancer detection using BiLSTM attention and transformer models on clinical text data.

Lung cancer continues to be a major cause of death globally, making early and precise detection cruc...

Revealing Airflow-Particle Dynamics in Dry Powder Inhalers.

Dry powder inhalers (DPIs) are essential for pulmonary drug delivery, yet how adhesive formulation p...

Hourly ozone prediction using ensemble forecasting to accurately capture peak concentration: a case study of Tehran, Iran.

Accurate short-term ozone (O3) forecasting is critical for mitigating respiratory and ecological imp...

CT-based deep learning for survival stratification in EGFR-mutant lung adenocarcinoma after EGFR-TKI resistance: A multicenter study.

Accurate risk assessment after EGFR-TKI resistance is important for guiding subsequent management of...

A machine learning approach to identify perspectives of people living with pulmonary fibrosis.

People with PF and their families share disease experiences and information on social media, providi...

Impact of Commercial Artificial Intelligence on Radiologist Reading Time for Pulmonary Nodule Evaluation at Chest CT.

Background Chest CT is a primary method for identifying pulmonary nodules, yet interpreting scans re...

Assessing the scientific quality of artificial intelligence generated graphical abstracts in respiratory medicine: an expert-based multicentre pilot study.

Graphical abstracts are increasingly used to enhance scientific communication, yet their quality rem...

New Evidence in Heart Failure: 2026 Update.

Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healt...

Cone Beam Computed Tomography-based Lung Function Imaging using Deep Learning for Functional Image-Guided Adaptative Radiation Therapy.

PURPOSE: Recent studies indicate that lung function can change significantly during radiation therap...

Improving portability of knowledge-based planning using an LLM-driven plan refinement framework in lung radiotherapy.

BACKGROUND: Knowledge-based planning (KBP) has improved the quality and efficiency of radiotherapy t...

Identification of Pre-Diagnostic Protein Biomarkers for Liver Cirrhosis Based on Prospective Analysis of a Large-Scale Plasma Proteomics in the UK Biobank.

PURPOSE: Liver fibrosis and cirrhosis represent critical stages in the progression of chronic liver ...

Bibliometric Analysis of Artificial Intelligence Use in Small Animal Thoracic Radiography.

BACKGROUND: Artificial intelligence (AI) is increasingly used in veterinary diagnostic imaging, part...

Development of a Prognostic Survival Risk Score for Lung Cancer Patients With Type 2 Diabetes Mellitus: A Territory-Wide Retrospective Cohort Study.

BACKGROUND: Lung cancer is a leading cause of cancer-related mortality, and its prognosis is often a...

Recent Mycobacterium tuberculosis Transmission, United States, 2018-2022 (Response).

Recent Mycobacterium tuberculosis Transmission, United States, 2018-2022.

Pulmonary ventilation images from planning CT images using deep learning on locally-advanced NSCLC patients.

BACKGROUND: Pulmonary ventilation imaging has become an increasingly important component in thoracic...

Exploratory Analysis of Electrical Impedance Tomography Features Associated with Spirometric Airflow Limitation.

Introduction: Electrical impedance tomography (EIT) is a noninvasive, radiation-free imaging modalit...

Leveraging serum CHI3L1 and machine learning for non-invasive liver fibrosis diagnostics.

This study was aimed to develop non-invasive liver fibrosis diagnostic model using chitinase 3-like ...

Deep Learning-Based Automated Versus Manual Snoring Scoring in Sleep Disordered Breathing.

OBJECTIVES: Snoring is a major acoustic manifestation of upper airway obstruction and an indicator o...

Letter to the Editor: Artificial Intelligence in Respiratory Medicine: Epistemic Authority, Trust and Responsibility in Practice and in Training.