[HTML][HTML] The incremental role of multiorgan point-of-care ultrasounds in the emergency setting

A D'Andrea, C Del Giudice, D Fabiani… - International journal of …, 2023 - mdpi.com
Point-of-care ultrasonography (POCUS) represents a goal-directed ultrasound examination
performed by clinicians directly involved in patient healthcare. POCUS has been widely …

[HTML][HTML] Inter-rater variability in the evaluation of lung ultrasound in videos acquired from COVID-19 patients

JL Herraiz, C Freijo, J Camacho, M Muñoz… - Applied Sciences, 2023 - mdpi.com
Lung ultrasound (LUS) allows for the detection of a series of manifestations of COVID-19,
such as B-lines and consolidations. The objective of this work was to study the inter-rater …

Ultrasound imaging of lung disease and its relationship to histopathology: An experimentally validated simulation approach

O Ostras, I Shponka, G Pinton - The Journal of the Acoustical Society of …, 2023 - pubs.aip.org
Lung ultrasound (LUS) is a widely used technique in clinical lung assessment, yet the
relationship between LUS images and the underlying disease remains poorly understood …

Prospective real-time validation of a lung ultrasound deep learning model in the ICU

C Dave, D Wu, J Tschirhart, D Smith… - Critical Care …, 2023 - journals.lww.com
OBJECTIVES: To evaluate the accuracy of a bedside, real-time deployment of a deep
learning (DL) model capable of distinguishing between normal (A line pattern) and …

A comparative and extensive study of Covid 19 diagnosis using lung ultrasound images

AGE Thomas, JS Duela - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The COVID-19 pandemic has resulted in a worldwide health crisis that has affected all facets
of human existence and has brought the world to a halt. The most important pre-requisite for …

[HTML][HTML] Validation of a Deep-Learning Modular Prototype to Guide Novices to Acquire Diagnostic Ultrasound Images from Urinary System

S Ossaba, Á Diez, M Marti, ML Parra-Gordo… - WFUMB Ultrasound …, 2024 - Elsevier
Importance Artificial intelligence (AI) application in guiding the acquisition of
ultrasonography images represents a pioneering field of research. A new developed hybrid …

[PDF][PDF] Hybrid Artificial Intelligence Solution Combining Convolutional Neural Network and Analytical Approach Showed Higher Accuracy in A-lines Detection on Lung …

M Števík, M Malík, Š Vetešková, Z Trabalková… - Neuroendocrinology …, 2024 - nel.edu
OBJECTIVES: Lung ultrasound reduces the number of chest X-rays after thoracic surgery
and thus the radiation. COVID-19 pandemic has accelerated research in lung ultrasound …

Assisted diagnosis algorithm for lung ultrasound in COVID-19 patients

M Muñoz, Y Tung-Chen, JL Herraiz… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Lung ultrasound has become one of the most promising medical techniques for the
diagnosis and monitoring of pneumonia, which is one of the main complication of SARS …

Artificial Intelligence Neural Network Consistently Interprets Lung Ultrasound Artifacts in Hospitalized Patients: A Prospective Observational Study

TH Fox, GR Gare, LE Hutchins, VS Perez, R Rodriguez… - medRxiv, 2023 - medrxiv.org
Background Interpretation of lung ultrasound artifacts by clinicians can be inconsistent.
Artificial intelligence (AI) may perform this task more consistently. Research Question Can AI …

Deep Learning-Based Lung Ultrasound image segmentation for real-time analysis

M Muñoz, G Cosarinsky, JF Cruza… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Lung ultrasound is a non-invasive imaging technique, which is increasingly used in many
clinical areas for the evaluation of lung conditions. Despite its potential benefits, the …