Pulmonology

Latest AI and machine learning research in pulmonology for healthcare professionals.

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Performance of a point-of-care ultrasound platform for artificial intelligence-enabled assessment of pulmonary B-lines.

BACKGROUND: The incorporation of artificial intelligence (AI) into point-of-care ultrasound (POCUS) ...

Evaluation by dental professionals of an artificial intelligence-based application to measure alveolar bone loss.

BACKGROUND: Several commercial programs incorporate artificial intelligence in diagnosis, but very f...

Metastatic Lung Lesion Changes in Follow-up Chest CT: The Advantage of Deep Learning Simultaneous Analysis of Prior and Current Scans With SimU-Net.

PURPOSE: Radiological follow-up of oncology patients requires the detection of metastatic lung lesio...

ScreenDx, an artificial intelligence-based algorithm for the incidental detection of pulmonary fibrosis.

BACKGROUND: Nonspecific symptoms and variability in radiographic reporting patterns contribute to a ...

Living Microalgae-Based Magnetic Microrobots for Calcium Overload and Photodynamic Synergetic Cancer Therapy.

The combination of Ca overload and reactive oxygen species (ROS) production for cancer therapy offer...

Using machine learning to predict deterioration of symptoms in COPD patients within a telemonitoring program.

COPD exacerbations have a profound clinical impact on patients. Accurately predicting these events c...

Machine Learning-Based Prediction of Postoperative Pneumonia Among Super-Aged Patients With Hip Fracture.

BACKGROUND: Hip fractures have become a significant health concern, particularly among super-aged pa...

Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches.

Lung cancer is one of the most common cancer and the leading cause of cancer-related death worldwide...

Data-efficient generalization of AI transformers for noise reduction in ultra-fast lung PET scans.

PURPOSE: Respiratory motion during PET acquisition may produce lesion blurring. Ultra-fast 20-second...

Multi-axis transformer based U-Net with class balanced ensemble model for lung disease classification using X-ray images.

Chest X-rays are an essential diagnostic tool for identifying chest disorders because of its high s...

Accurate Estimation of Methemoglobin and Oxygen Saturation in Skin Tissue Using Diffuse Reflectance Spectroscopy and Artificial Intelligence.

In this paper, we present a noninvasive method for the accurate estimation of methemoglobin concentr...

Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal.

Respiratory rate (RR) changes in the elderly can indicate serious diseases. Thus, accurate estimatio...

Development and evaluation of a multivariable prediction model for overall survival in advanced stage pulmonary carcinoid using machine learning.

BACKGROUND: Evidence is limited on whether patients with advanced pulmonary carcinoid (APC) benefit ...

Histological proven AI performance in the UKLS CT lung cancer screening study: Potential for workload reduction.

PURPOSE: Artificial intelligence (AI) could reduce lung cancer screening computer tomography (CT)-re...

Continuous non-contact monitoring of neonatal activity.

PURPOSE: Neonatal activity is an important physiological parameter in the neonatal intensive care un...

A PET/CT-based 3D deep learning model for predicting spread through air spaces in stage I lung adenocarcinoma.

PURPOSE: This study evaluates a three-dimensional (3D) deep learning (DL) model based on fluorine-18...

Constitutive neural networks for main pulmonary arteries: discovering the undiscovered.

Accurate modeling of cardiovascular tissues is crucial for understanding and predicting their behavi...

Development of a Machine Learning-Powered Optimized Lung Allocation System for Maximum Benefits in Lung Transplantation: A Korean National Data.

BACKGROUND: An ideal lung allocation system should reduce waiting list deaths, improve transplant su...

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