Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

927
Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
927
Pneumothorax-II01:27

Pneumothorax-II

726
Pneumothorax is a medical condition defined by the buildup of air in the pleural space between the lungs and the chest wall. This accumulation of air can lead to partial or complete lung collapse, resulting in a range of clinical manifestations. Understanding the clinical presentation and effective management strategies is crucial for healthcare professionals in providing timely and appropriate care to individuals with pneumothorax.
Clinical Manifestations:
726
Assessment of Respiration01:23

Assessment of Respiration

1.7K
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...
1.7K
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

411
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
411

You might also read

Related Articles

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

Sort by
Same author

Proteomic insights into nano-chitosan-induced salinity tolerance in solid matrix-primed mung bean seedlings.

Scientific reports·2026
Same author

Antimicrobial peptides: emerging next-generation strategy for sustainable plant disease management.

Frontiers in antibiotics·2026
Same author

MXene-based hybrid nanocomposites for enhanced enzyme-electrode electron transfer for high-performance glucose biosensing.

Bioelectrochemistry (Amsterdam, Netherlands)·2026
Same author

Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics.

Health information science and systems·2025
Same author

From Hormones to Harvests: A Pathway to Strengthening Plant Resilience for Achieving Sustainable Development Goals.

Plants (Basel, Switzerland)·2025
Same author

Ni<sub>1-</sub> Mn <sub></sub> Co<sub>2</sub>O<sub>4</sub> Nanoparticles as High-Performance Electrochemical Sensor Materials for Acetaminophen Monitoring.

ACS omega·2025

Related Experiment Video

Updated: Dec 17, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.6K

Truncated inception net: COVID-19 outbreak screening using chest X-rays.

Dipayan Das1, K C Santosh2, Umapada Pal3

  • 1Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, India.

Physical and Engineering Sciences in Medicine
|June 27, 2020
PubMed
Summary

A novel deep learning model, Truncated Inception Net, accurately screens COVID-19 from chest X-rays. This AI tool demonstrates high performance for rapid COVID-19 detection using accessible imaging technology.

Keywords:
CNNCOVID-19Chest X-raysDeep learningInception netPneumoniaTuberculosis

More Related Videos

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

609
The Application of Point-of-Care Ultrasonography (POCUS) in the Management of Acute Respiratory Distress Syndrome (ARDS) in the Intensive Care Unit
08:22

The Application of Point-of-Care Ultrasonography (POCUS) in the Management of Acute Respiratory Distress Syndrome (ARDS) in the Intensive Care Unit

Published on: December 12, 2025

130

Related Experiment Videos

Last Updated: Dec 17, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.6K
Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

609
The Application of Point-of-Care Ultrasonography (POCUS) in the Management of Acute Respiratory Distress Syndrome (ARDS) in the Intensive Care Unit
08:22

The Application of Point-of-Care Ultrasonography (POCUS) in the Management of Acute Respiratory Distress Syndrome (ARDS) in the Intensive Care Unit

Published on: December 12, 2025

130

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Infectious Diseases

Background:

  • The COVID-19 pandemic, caused by SARS-CoV-2, has led to global health challenges.
  • AI tools aid in outbreak identification and spread prediction, with imaging techniques like CT scans and chest X-rays (CXRs) being crucial.
  • Chest X-rays offer a more accessible and cost-effective alternative to CT scans for widespread screening.

Purpose of the Study:

  • To propose a deep learning Convolutional Neural Network (CNN) model, named Truncated Inception Net, for screening COVID-19 positive CXRs.
  • To evaluate the model's efficacy in distinguishing COVID-19 cases from other respiratory conditions and healthy individuals using CXR data.

Main Methods:

  • Development of a deep learning CNN model called Truncated Inception Net.
  • Training and validation using six distinct datasets comprising CXRs of COVID-19 positive, Pneumonia positive, Tuberculosis positive, and healthy cases.
  • Performance evaluation based on accuracy and Area Under the Curve (AUC) metrics.

Main Results:

  • The Truncated Inception Net achieved 99.96% accuracy (AUC of 1.0) in classifying COVID-19 positive cases from Pneumonia and healthy cases.
  • The model demonstrated 99.92% accuracy (AUC of 0.99) when differentiating COVID-19 positive cases from combined Pneumonia, Tuberculosis, and healthy CXRs.
  • Achieved results surpass existing AI-driven tools for COVID-19 screening via CXRs.

Conclusions:

  • The proposed Truncated Inception Net is a highly effective AI tool for screening COVID-19 using chest X-rays.
  • The model's superior performance validates its viability as a cost-effective and accessible screening tool for COVID-19 detection.