Pulmonology

Cross-sectional research: Application of an Artificial Intelligence-Based Pediatric Early Warning Score in the Pediatric Emergency Department.

BACKGROUND: There are a large number of pediatric emergency patients. Due to the fact that the child...

Noninvasive Prediction of Bone Metastasis-Free Survival in Lung Adenocarcinoma Using Interpretable CT-based Deep Learning Model.

RATIONALE AND OBJECTIVES: Preoperatively identifying patients at high risk of bone metastasis (BM) r...

Cardiopulmonary exercise testing before lung resection surgery: still indicated? Evaluating predictive utility using machine learning.

RATIONALE: Despite significant advances in patient care and outcomes, criteria for cardiopulmonary e...

Multimodal cardiovascular risk profiling using self-supervised learning of polysomnography.

STUDY OBJECTIVES: Polysomnography (PSG) provides a comprehensive assessment of brain, cardiac, and r...

Scenario-based evaluation of large language models for reference accuracy in dermatology: literature retrieval on latent tuberculosis in psoriasis patients on anti-IL-17/23 therapy.

BACKGROUND: Large language models (LLMs) could accelerate clinical literature searches, but their re...

Predicting reactive graphene edge-adsorbed Pt single-atom catalyst structures for oxygen reduction via machine learning-enhanced DFT calculations.

Single-atom platinum on graphitic materials can enhance catalysis of the oxygen reduction reaction (...

Tuberculosis Disease Severity Assessment Using Clinical Variables and Radiology Enabled by Artificial Intelligence.

BACKGROUND: Chest X-ray (CXR) can assess pulmonary tuberculosis (TB) severity and may guide duration...

mRNASyner: An Integrative Framework for Full-Length mRNA Sequence Optimization via Multimodule Synergistic Design.

Messenger RNA (mRNA) technology holds great promise in biomedicine; however, its therapeutic efficac...

Identification of hub genes and molecular networks involved in alveolar bone resorption based on bioinformatics analysis.

LungNet: Leveraging state-space models with SE-enhanced skip connections for precise CT-based lung lesion segmentation.

Lung cancer, which accounted for 2.48 million new cases and 1.82 million deaths worldwide in 2022, c...

A review of traditional uses, phytoconstituents, bioactivities, and therapeutic potential of Hypecoum erectum L. and Hypecoum leptocarpum Hook.f. & Thomson.

ETHNOPHARMACOLOGICAL RELEVANCE: Hypecoi Erecti Herba, derived from plants of the genus Hypecoum (Pap...

Towards interpretable AI in personalized medicine through a radiological-biological radiomics dictionary linking semantic Lung-RADS and imaging radiomics features.

BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality worldwide, with surviv...

Decoupling lactylation-associated metabolic remodelling in Asthma: Integrated multi-omics and machine learning identify RCC2 as a potential therapeutic target.

BACKGROUND: Aerobic glycolysis promotes lactate accumulation and histone lactylation (Kla), yet the ...

Construction and interpretability evaluation of a prediction model for radiographic pneumonia in children at outpatient and emergency departments.

BACKGROUND: Radiographic confirmation is crucial for pediatric pneumonia diagnosis, but chest X-ray ...

MUSIOMICS: A multi-region radiomics framework that outperforms single-region analysis in classifying malignant pulmonary nodules.

BACKGROUND AND OBJECTIVE: Radiomic studies in lung cancer have primarily analyzed single-domain feat...

Establishment of prediction equations for available energy values of sorghum in broilers using machine learning and stepwise regression methods.

This study aimed to determine the available energy values of sorghum for Arbor Acres (AA) broilers a...

Fluid Volumes Longitudinal Modeling to Predict Atrophy and Fibrosis in Neovascular Age-Related Macular Degeneration.

PURPOSE: To evaluate the impact of retinal fluid volumes on the development of atrophy and fibrosis ...

Natural bioactive as modulators of airway inflammation and remodeling: mechanistic insights.

Airway diseases such as asthma, COPD, pulmonary fibrosis, and other inflammatory airway conditions r...

Lung cancer diagnosis from CT scans using artificial intelligence techniques: A global perspective.

OBJECTIVE: In this research, we conducted a systematic review of artificial intelligence techniques ...

Update on pleural mesothelioma.

PURPOSE OF REVIEW: Pleural mesothelioma remains a universally lethal cancer with a rising global bur...

HP-DIL: Deep heterogeneity profiling with graph-informed disentangled interaction learning for MRI-based liver fibrosis staging.

Liver fibrosis staging (LFS) informs treatment decisions and prognostic assessment in liver disease....