Pulmonology

Comparison Results of Three-Port Robot-Assisted and Uniportal Video-Assisted Lobectomy for Functional Recovery Index in the Treatment of Early Stage Non-small Cell Lung Cancer: A Propensity Score-Matched Analysis.

BACKGROUND: Minimally invasive lobectomy is the standard treatment for early stage non-small cell lu...

Unexpectedly Prolonged Serotonin Syndrome and Fatal Complications Following a Massive Overdose of Paroxetine Controlled-Release.

Symptoms caused by a selective serotonin reuptake inhibitor (SSRI) overdose are often mild and can b...

Anti-mutated citrullinated vimentin antibodies are increased in IPF patients.

INTRO: An increased prevalence of serum anti-MCV antibody is observed in the serum of patients with ...

Diagnosis of COVID-19 with simultaneous accurate prediction of cardiac abnormalities from chest computed tomographic images.

COVID-19 has potential consequences on the pulmonary and cardiovascular health of millions of infect...

Automated detection and segmentation of pleural effusion on ultrasound images using an Attention U-net.

BACKGROUND: Ultrasonic for detecting and evaluating pleural effusion is an essential part of the Ext...

Deep learning prediction of hospital readmissions for asthma and COPD.

QUESTION: Severe asthma and COPD exacerbations requiring hospitalization are linked to increased dis...

Efficiency of face mask ventilation before and after neuromuscular blockade: A randomised, double-blind controlled study.

BACKGROUND AND AIMS: The traditional practice of administrating neuromuscular blocking drugs (NMBDs)...

Retracted: Ultrasound Lung Image under Artificial Intelligence Algorithm in Diagnosis of Neonatal Respiratory Distress Syndrome.

[This retracts the article DOI: 10.1155/2022/1817341.].

Value of CT quantification in progressive fibrosing interstitial lung disease: a deep learning approach.

OBJECTIVES: To evaluate the relationship of changes in the deep learning-based CT quantification of ...

Factors associated with decreased compliance after on-site extracorporeal membrane oxygenation cannulation for acute respiratory distress syndrome: A retrospective, observational cohort study.

BACKGROUND: Extracorporeal membrane oxygenation (ECMO) for acute respiratory distress syndrome (ARDS...

A real-world evaluation of the diagnostic accuracy of radiologists using positive predictive values verified from deep learning and natural language processing chest algorithms deployed retrospectively.

OBJECTIVES: This diagnostic study assessed the accuracy of radiologists retrospectively, using the d...

Diagnosis and detection of pneumonia using weak-label based on X-ray images: a multi-center study.

PURPOSE: Development and assessment the deep learning weakly supervised algorithm for the classifica...

Uncertainty-guided cross learning via CNN and transformer for semi-supervised honeycomb lung lesion segmentation.

. Deep learning networks such as convolutional neural networks (CNN) and Transformer have shown exce...

AI/ML advances in non-small cell lung cancer biomarker discovery.

Lung cancer is the leading cause of cancer deaths among both men and women, representing approximate...

MRI advances in the imaging diagnosis of tuberculous meningitis: opportunities and innovations.

Tuberculous meningitis (TBM) is not only one of the most fatal forms of tuberculosis, but also a maj...

Deep learning-based dynamic ventilatory threshold estimation from electrocardiograms.

BACKGROUND AND OBJECTIVE: The ventilatory threshold (VT) marks the transition from aerobic to anaero...

Online advance respiration prediction model for percutaneous puncture robotics.

PURPOSE: Surgical robots have significant research value and clinical significance in the field of p...

Artificial intelligence in the NICU to predict extubation success in prematurely born infants.

OBJECTIVES: Mechanical ventilation in prematurely born infants, particularly if prolonged, can cause...

Fusion of laser-induced breakdown spectroscopy technology and deep learning: a new method to identify malignant and benign lung tumors with high accuracy.

Precisely distinguishing between malignant and benign lung tumors is pivotal for suggesting therapeu...

Artificial intelligence for predicting pulmonary embolism: A review of machine learning approaches and performance evaluation.

Secret learning for lung cancer diagnosis-a study with homomorphic encryption, texture analysis and deep learning.

Advanced lung cancer diagnoses from radiographic images include automated detection of lung cancer f...