Pulmonology

Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario.

OBJECTIVES: This study was conducted to evaluate the effect of dose reduction on the performance of ...

E-TBNet: Light Deep Neural Network for Automatic Detection of Tuberculosis with X-ray DR Imaging.

Currently, the tuberculosis (TB) detection model based on chest X-ray images has the problem of exce...

Mycobacterium abscessus drug discovery using machine learning.

The prevalence of infections by nontuberculous mycobacteria is increasing, having surpassed tubercul...

Light-driven carbon nitride microswimmers with propulsion in biological and ionic media and responsive on-demand drug delivery.

We propose two-dimensional poly(heptazine imide) (PHI) carbon nitride microparticles as light-driven...

Deep Learning-Based Chest CT Image Features in Diagnosis of Lung Cancer.

This study was to evaluate the diagnostic value of deep learning-optimized chest CT in the patients ...

Time to Scrutinize and Revise the Fine Print of Lung Cancer Screening Using Low-Dose CT: Seeking Greater Confidence in Cancer Detectability.

Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT.

Background Ultra-low-dose (ULD) CT could facilitate the clinical implementation of large-scale lung ...

Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data.

Till March 31st, 2021, the coronavirus disease 2019 (COVID-19) had reportedly infected more than 127...

Self-Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile System.

A self-powered artificial mechanoreceptor module is demonstrated with a triboelectric nanogenerator ...

Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method.

We developed and validated a deep learning (DL)-based model using the segmentation method and assess...

An explainable machine learning framework for lung cancer hospital length of stay prediction.

This work introduces a predictive Length of Stay (LOS) framework for lung cancer patients using mach...

Robot-assisted Thoracoscopic Lobectomy of T4 Lung Cancer.

A 79-year-old male former smoker presented with a T4 (>7 cm) adenocarcinoma of the right upper lobe....

Bone suppression on pediatric chest radiographs via a deep learning-based cascade model.

BACKGROUND AND OBJECTIVE: Bone suppression images (BSIs) of chest radiographs (CXRs) have been prove...

Cloud-Based Lung Tumor Detection and Stage Classification Using Deep Learning Techniques.

Artificial intelligence (AI), Internet of Things (IoT), and the cloud computing have recently become...

Prediction of Lung Infection during Palliative Chemotherapy of Lung Cancer Based on Artificial Neural Network.

Lung infection seriously affects the effect of chemotherapy in patients with lung cancer and increas...

Smart Heart Disease Prediction System with IoT and Fog Computing Sectors Enabled by Cascaded Deep Learning Model.

Chronic illnesses like chronic respiratory disease, cancer, heart disease, and diabetes are threats ...

Clinical impact of a deep learning system for automated detection of missed pulmonary nodules on routine body computed tomography including the chest region.

OBJECTIVES: To evaluate the clinical impact of a deep learning system (DLS) for automated detection ...

Coarse-to-fine airway segmentation using multi information fusion network and CNN-based region growing.

BACKGROUND AND OBJECTIVES: Automatic airway segmentation from chest computed tomography (CT) scans p...

Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model.

This article presents non-invasive sensing-based diagnoses of pneumonia disease, exploiting a deep l...

Prediction of long-term mortality by using machine learning models in Chinese patients with connective tissue disease-associated interstitial lung disease.

BACKGROUND: The exact risk assessment is crucial for the management of connective tissue disease-ass...

Forecasts of cardiac and respiratory mortality in Tehran, Iran, using ARIMAX and CNN-LSTM models.

Cardiovascular diseases belong to the leading causes of disability and premature death worldwide, in...