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

Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

188
Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
Several diagnostic approaches are used to detect TB. The conventional method is the Tuberculin Skin Test (TST), also known as the Mantoux test. However, this method has...
188
Pulmonary Tuberculosis I01:29

Pulmonary Tuberculosis I

297
Tuberculosis, often called TB, is a contagious illness primarily caused by Mycobacterium tuberculosis. It mainly affects the lung parenchyma but can also impact other body parts.
Causative Organism
The primary infectious agent causing tuberculosis is Mycobacterium tuberculosis, a slow-growing, acid-fast, aerobic rod that exhibits sensitivity to heat and ultraviolet light. Instances of Mycobacterium bovis and Mycobacterium avium contributing to the development of TB infection are rare.
Mode of...
297
Pulmonary Tuberculosis V01:28

Pulmonary Tuberculosis V

225
Medical management of tuberculosis (TB) patients involves a comprehensive approach that includes diagnosis, treatment, and monitoring. The specific strategies can vary depending on the type of tuberculosis (latent or active), the patient's overall health status, and other considerations.
Latent tuberculosis infection occurs when TB bacteria are present in a person's body, but are not causing illness or symptoms. It is not contagious, and preventive treatment is crucial to avoid the...
225
Pulmonary Tuberculosis II01:28

Pulmonary Tuberculosis II

308
Tuberculosis, or TB, is a bacterial infectious disease caused by Mycobacterium tuberculosis. While its primary impact is on the lungs, leading to pulmonary tuberculosis, it can also affect various other organs, a condition referred to as extrapulmonary tuberculosis.
Here is a detailed explanation of its pathophysiology:
Transmission: The process begins when a person inhales droplet nuclei containing M. tuberculosis. These are typically released into the air when an individual with pulmonary or...
308
Pulmonary Tuberculosis III01:31

Pulmonary Tuberculosis III

412
Tuberculosis (TB) is a contagious infection primarily affecting the lung parenchyma but which can also affect other body parts. TB can be classified based on disease development, presentation, and the affected anatomical site.
The first classification is based on the development of the disease, and it includes the following categories:
412
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K

You might also read

Related Articles

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

Sort by
Same author

Optimizing genomics-aware clinical agents in precision oncology.

NPJ systems biology and applications·2026
Same author

Target-based Antidiabetic Indole Derivatives and Insights into Structure-activity Relationships: A Mechanistic Update 2020-2025.

Current drug targets·2026
Same author

Auditory Speech Based Alerting System for Detecting Dummy Number Plate via Video Processing Data sets.

Computational intelligence and neuroscience·2022
Same author

Investigations on Brain Tumor Classification Using Hybrid Machine Learning Algorithms.

Journal of healthcare engineering·2022
Same author

Event-triggered H<sub>∞</sub> state estimation for semi-Markov jumping discrete-time neural networks with quantization.

Neural networks : the official journal of the International Neural Network Society·2018
Same author

Reactivity of cyclopentadienyl transition metal(ii) complexes with borate ligands: structural characterization of the toluene-activated molybdenum complex [Cp*Mo(CO)<sub>2</sub>(η<sup>3</sup>-CH<sub>2</sub>C<sub>6</sub>H<sub>5</sub>)].

Dalton transactions (Cambridge, England : 2003)·2016

Related Experiment Video

Updated: Aug 26, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.6K

Early Diagnosis of Tuberculosis Using Deep Learning Approach for IOT Based Healthcare Applications.

G Simi Margarat1, G Hemalatha2, Annapurna Mishra3

  • 1Department of Computer Science and Engineering, New Prince Shri Bhavani College of Engineering and Technology, Chennai, Tamil Nādu, India.

Computational Intelligence and Neuroscience
|October 10, 2022
PubMed
Summary

This study introduces an optimized deep learning model for early Tuberculosis (TB) detection using Chest X-rays (CXRs). The DBN-AMBO model significantly enhances diagnostic accuracy for TB screening.

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.9K
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

848

Related Experiment Videos

Last Updated: Aug 26, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.6K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.9K
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

848

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Computer Science

Background:

  • Tuberculosis (TB) remains a critical global health concern with high mortality rates.
  • Early diagnosis is crucial for effective TB treatment and management.
  • Chest X-rays (CXRs) are a primary tool for screening active TB.

Purpose of the Study:

  • To develop and evaluate an enhanced deep learning (DL) model for automated Tuberculosis detection from CXR images.
  • To improve the accuracy and efficiency of TB screening using advanced AI techniques.

Main Methods:

  • The study employed a multi-stage approach including image preprocessing, segmentation using Adaptive Fuzzy C-means (AFCM) clustering, and feature extraction.
  • A Deep Belief Network (DBN) classifier was utilized for TB detection.
  • The DBN model was optimized using the Adaptive Monarch Butterfly Optimization (AMBO) algorithm, resulting in the DBN-AMBO model.
  • The implementation was performed on the Python platform.

Main Results:

  • The DBN-AMBO model demonstrated enhanced classification accuracy and reduced error functions.
  • Optimization of weighting parameters in the DBN was achieved through the AMBO algorithm.
  • Performance evaluations on MC and SC datasets showed superior results compared to other approaches.

Conclusions:

  • The developed DBN-AMBO model offers a promising tool for accurate and efficient automated TB detection from CXRs.
  • This AI-driven approach has the potential to significantly improve early diagnosis and TB management strategies.
  • Further validation on diverse datasets is recommended to confirm generalizability.