Pulmonology

Integrated bioinformatics and machine learning analysis identify CROT as a regulator of immunological features in idiopathic pulmonary fibrosis.

Mitochondrial dysfunction and immune dysregulation contribute to the pathogenesis of idiopathic pulmonary fibrosis (IPF). This study systematically identifies mitochondrial-related core regulatory genes and elucidates their potential associations with immunological features in IPF. Two independent IPF cohorts (GSE110147 and GSE32537) were integrated as a training set, followed by a differential ex...

Prediction of Short-Term Postoperative Complications Following Open Reduction Internal Fixation of Ankle Fractures.

BACKGROUND: Minimizing postoperative complications is imperative to improving patient outcomes. The purpose of this investigation is to develop machine learning (ML) models that can predict complications following open reduction and internal fixation of ankle fractures and compare them with legacy indices. METHODS: The ACS-NSQIP database was queried from 2011 to 2020 for ankle fractures. Training ...

Updates on Artificial Intelligence-Assisted Allergic Rhinitis and its Impact on Asthma Care Pathways.

The use of artificial intelligence (AI) in medicine has been growing steadily over the past decade, but it has not been until the past few years that ...

Fetal cardiac remodeling in second trimester in pregnancies with pre-eclampsia and/or fetal growth restriction: deep-learning-based approach using population-wide data.

OBJECTIVE: Pre-eclampsia (PE) and fetal growth restriction (FGR) have been shown to impact fetal cardiac remodeling in the third trimester and postnat...

Malignant pleural mesothelioma classification and survival prediction with CT imaging using ResNet.

OBJECTIVES: This study aims to achieve accurate differentiation of malignant pleural mesothelioma (MPM) from metastatic pleural disease (MPD) and to p...

Dynamic oxygen sensing technology: progress from large-scale equipment to portable monitoring.

Dynamic oxygen sensing technology facilitates the early diagnosis of diseases, the optimization of treatment, and the enhancement of athletic performa...

Artificial intelligence models for lung cancer diagnosis: A comprehensive review.

Artificial intelligence has emerged as a transformative technology in lung cancer diagnosis, with multiple large-scale meta-analyses demonstrating its...

Machine Learning Based Prediction of 28-Day Mortality in ECMO Patients: A Pilot Study Using MIMIC-IV Database.

BackgroundExtracorporeal membrane oxygenation (ECMO) is a critical life-sustaining intervention for patients with severe cardiac or respiratory failur...

Spatially resolved airway niches: mapping epithelial-immune microenvironments in asthma.

INTRODUCTION: Spatially resolved omics has reconceptualized the bronchial wall as a mosaic of epithelial - immune microenvironments whose local molecu...

Ark+: Supervised training a single high-performance AI foundation model from many differently labeled datasets-no label consolidation required.

This article presents a methodological breakthrough in supervised learning for training a single, robust, and high-performance artificial intelligence...

Artificial intelligence for arterial blood gas interpretation.

Arterial blood gas (ABG) analysis is a fundamental diagnostic tool in clinical medicine, offering critical insights into a patient's respiratory and m...

Letter to the Editor: "A risk-adjusted length of stay to evaluate severe community-acquired pneumonia (sCAP) outcomes: A machine learning analysis of 16,985 ICU admissions".

Perioperative Extracorporeal Membrane Oxygenation Use in Lung Transplantation: Analysis of Outcomes and Future Directions.

Extracorporeal membrane oxygenation (ECMO) has emerged as a critical intervention in the management of patients with end-stage lung disease undergoing...

Screening for depression risk in asthma patients: Development and external validation of a machine learning-based predictive model.

BACKGROUND: Depression is prevalent among asthma patients, negatively impacting their quality of life, treatment adherence, and prognosis. This study ...

Deep ensemble model with blockchain technology for lung cancer detection with secured data sharing.

Lung cancer is one of the leading causes of cancer-related mortality globally, primarily due to the high frequency of late-stage diagnoses. While exis...

Uncovering predictors of bipolar II conversion to bipolar I: A machine learning analysis of national health records in Taiwan.

BACKGROUND: Bipolar II disorder (BD-II) can progress to bipolar I disorder (BD-I), carrying profound psychosocial consequences. However, limited resea...

Robotic thoracic surgery: what is different in anesthesia?

PURPOSE OF REVIEW: Robotic-assisted thoracic surgery (RATS) has emerged as a transformative approach in thoracic surgery, enabling enhanced precision ...

Authors reply: "A risk-adjusted length of stay to evaluate severe community-acquired pneumonia (sCAP) outcomes: A machine learning analysis of 16,985 ICU admissions".

Deep learning-enhanced 3D imaging unveils semaglutide impact on cardiac fibrosis.

BACKGROUND AND PURPOSE: Myocardial fibrosis (MF), a hallmark of structural cardiac remodelling, drives disease progression across most forms of heart ...

Tridimensional analysis of the normal upper airways in non-dentofacial deformity patients.

OBJECTIVES: To establish normative three-dimensional airway measurements in patients without dentofacial deformities (DDFs) or obstructive sleep apnea...