Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Assessment of Respiration

Assessment of Respiration

The respiratory system's basic structures and primary functions lay the foundation for nurses' comprehensive respiratory assessments. This assessment includes subjective and objective data to gauge the patient's respiratory health.
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like...

Ultrasound II: Endoscopic Ultrasound and FibroScan

Ultrasound II: Endoscopic Ultrasound and FibroScan

Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):

Ultrasound I: Abdominal Ultrasonography

Ultrasound I: Abdominal Ultrasonography

Introduction:
Abdominal ultrasonography, commonly known as abdominal ultrasound, is a vital, non-invasive medical imaging technique widely used in healthcare.
Procedure:
This diagnostic tool allows the clinician to visually inspect internal structures within the abdomen, including vital organs such as the liver, gallbladder, pancreas, kidneys, and spleen.
The abdominal ultrasound process begins with applying a special gel to the patient's skin over the abdomen. This gel enhances the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Virtual, Augmented, and Mixed Reality for Motor Neurorehabilitation: Scoping Review Focused on the Role of Body Representation.

JMIR XR and spatial computing·2026

Same author

Oxy-Inflammatory Profile of Finishers and No-Finishers in an Extreme Ultra-Endurance Trail Race: The 866 km Transpyrénéa.

International journal of molecular sciences·2026

Same author

Machine Learning to Detect Vocal Stereotypy: Improving Duration-Based Measures.

Behavior modification·2025

Same author

Environmental study and stress-related biomarkers modifications in a crew during analog astronaut mission EMMPOL 6.

European journal of applied physiology·2024

Same author

Anorexia Nervosa, Body Image Perception and Virtual Reality Therapeutic Applications: State of the Art and Operational Proposal.

International journal of environmental research and public health·2022

Same author

A Case Study of Upper Limb Robotic-Assisted Therapy Using the Track-Hold Device.

Sensors (Basel, Switzerland)·2022

Same journal

Correction: Komatsu et al. Three-Dimensional Visualization and Detection of the Pulmonary Venous-Left Atrium Connection Using Artificial Intelligence in Fetal Cardiac Ultrasound Screening. <i>Bioengineering</i> 2026, <i>13</i>, 100.

Bioengineering (Basel, Switzerland)·2026

Same journal

Comparison of CO<sub>2</sub> Laser and Microdebrider in the Surgical Treatment of Pediatric Recurrent Respiratory Papillomatosis: A Retrospective Analysis.

Bioengineering (Basel, Switzerland)·2026

Same journal

Toward More Translational Tumor Models: Breast dECM-Based 3D Systems Capture Native Microenvironmental Cues.

Bioengineering (Basel, Switzerland)·2026

Same journal

Postural Stability Changes During the 4 Phases of the Half Squat: Kinematics Profile of the Center of Pressure and Center of Mass in High-Performance Weightlifters-A Pilot Study.

Bioengineering (Basel, Switzerland)·2026

Same journal

Definite Implant Position as Novel Readout for Effectiveness of Ridge Preservation Indicates to Beneficial Effect of Combined Treatment with Platelet-Rich Fibrin (PRF) and Xenogenic Biomaterial in Bone Regeneration.

Bioengineering (Basel, Switzerland)·2026

Same journal

Trueness and Precision of Intraoral Scanners for 3D-Printed Orthodontic Models with Attachments: An In Vitro Comparative Study.

Bioengineering (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 29, 2025

Protocol and Guidelines for Point-of-Care Lung Ultrasound in Diagnosing Neonatal Pulmonary Diseases Based on International Expert Consensus

Protocol and Guidelines for Point-of-Care Lung Ultrasound in Diagnosing Neonatal Pulmonary Diseases Based on International Expert Consensus

Published on: March 6, 2019

Efficient Lung Ultrasound Classification.

Antonio Bruno¹, Giacomo Ignesti¹, Ovidio Salvetti¹

¹Institute of Information Science and Technologies, National Research Council, 56124 Pisa, Italy.

Bioengineering (Basel, Switzerland)

|May 27, 2023

Summary

This summary is machine-generated.

A novel machine learning approach uses lung ultrasound for rapid, accurate diagnosis, aiding critical care and pandemics like SARS-CoV-2. This efficient ensembling method achieves 100% accuracy, surpassing existing models.

Keywords:

COVID-19 EfficientNet SARS-CoV-2 computer vision convolutional neural networks deep learning ensemble lung ultrasound pneumonia supervised learning

More Related Videos

Point-of-Care Lung Ultrasound in Adults: Image Acquisition

Point-of-Care Lung Ultrasound in Adults: Image Acquisition

Published on: March 3, 2023

International Expert Consensus and Recommendations for Neonatal Pneumothorax Ultrasound Diagnosis and Ultrasound-guided Thoracentesis Procedure

International Expert Consensus and Recommendations for Neonatal Pneumothorax Ultrasound Diagnosis and Ultrasound-guided Thoracentesis Procedure

Published on: March 12, 2020

Related Experiment Videos

Last Updated: Jul 29, 2025

Protocol and Guidelines for Point-of-Care Lung Ultrasound in Diagnosing Neonatal Pulmonary Diseases Based on International Expert Consensus

Protocol and Guidelines for Point-of-Care Lung Ultrasound in Diagnosing Neonatal Pulmonary Diseases Based on International Expert Consensus

Published on: March 6, 2019

Point-of-Care Lung Ultrasound in Adults: Image Acquisition

Point-of-Care Lung Ultrasound in Adults: Image Acquisition

Published on: March 3, 2023

International Expert Consensus and Recommendations for Neonatal Pneumothorax Ultrasound Diagnosis and Ultrasound-guided Thoracentesis Procedure

International Expert Consensus and Recommendations for Neonatal Pneumothorax Ultrasound Diagnosis and Ultrasound-guided Thoracentesis Procedure

Published on: March 12, 2020

Area of Science:

Medical Imaging
Machine Learning
Artificial Intelligence

Background:

Lung ultrasound (LUS) offers advantages over traditional imaging like X-ray or CT.
Point-of-care diagnostic tools are crucial, especially during pandemics such as SARS-CoV-2.
Accurate and efficient classification of LUS images is needed.

Purpose of the Study:

To develop a machine learning method for classifying lung ultrasound images.
To create a point-of-care tool for safe, fast, and accurate diagnosis.
To validate the method on the largest public LUS dataset.

Main Methods:

An efficient adaptive ensembling of two EfficientNet-b0 models was employed.
Ensembling was performed on deep features with an adaptive combination layer.
Minimal ensemble design using two weak models reduced complexity and computational cost.

Main Results:

The proposed method achieved 100% accuracy on the largest public LUS dataset.
This accuracy surpasses previous state-of-the-art models by at least 5%.
Computational cost (FLOPs) was reduced by at least 20% with parallelization.

Conclusions:

The developed machine learning method provides an accurate and efficient LUS classification tool.
The approach is suitable for point-of-care diagnostics and pandemic response.
Visual saliency map analysis aids in understanding model behavior.