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Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

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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...
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Pulmonary Tuberculosis I01:29

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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...
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Pulmonary Tuberculosis V01:28

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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.
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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.
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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.
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Artificial Intelligence in Paediatric Tuberculosis.

Jaishree Naidoo1, Susan Cheng Shelmerdine2,3,4, Carlos F Ugas -Charcape5

  • 1Envisionit Deep AI LTD, Coveham House, Downside Bridge Road, Cobham, KT11 3 EP, UK. jaishreenaidoo@hotmail.com.

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This summary is machine-generated.

Artificial intelligence (AI) offers new ways to diagnose and manage childhood tuberculosis (TB), especially in resource-limited settings. Deep learning in pediatric chest imaging can improve screening and diagnostic workflows for TB.

Keywords:
Artificial intelligenceChest radiographyChildrenComputer aided detectionDeep learningTuberculosis

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Area of Science:

  • Medical imaging
  • Artificial intelligence
  • Pediatric tuberculosis

Background:

  • Tuberculosis remains a major cause of child mortality globally.
  • The COVID-19 pandemic has hindered the WHO's "End TB Strategy".
  • AI applications in pediatric medical imaging are limited.

Purpose of the Study:

  • To review the application of AI, specifically deep learning, in diagnosing and managing pediatric TB.
  • To explore AI's role in chest imaging for computer-assisted diagnosis and screening.
  • To discuss challenges and future directions of AI in pediatric TB.

Main Methods:

  • Review of current literature on AI and deep learning in pediatric TB.
  • Analysis of AI applications in chest imaging for TB diagnosis.
  • Exploration of AI for TB screening in resource-constrained environments.

Main Results:

  • Deep learning can enhance computer-assisted diagnosis in pediatric chest imaging.
  • AI shows promise for improving TB screening workflows.
  • Current AI applications in pediatric TB are emerging but limited.

Conclusions:

  • AI, particularly deep learning, has significant potential to aid in the diagnosis and management of pediatric TB.
  • AI can augment screening efforts and improve diagnostic workflows, especially in resource-limited settings.
  • Further research and development are needed to overcome challenges and realize the full potential of AI in pediatric TB care.