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Related Concept Videos

Smallpox01:24

Smallpox

Smallpox is a severe contagious disease caused by the Variola major virus, a double-stranded DNA member of the Poxviridae family.Variola major transmission occurs primarily via inhalation of virus-laden droplets or direct contact with infectious scabs. The incubation period averages approximately seven days, although it may range from 7 to 17 days depending on the inoculum and host factors.Clinically, the prodromal phase is marked by an abrupt onset of high fever, malaise, headache, and myalgia.

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Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review.

Krishnaraj Chadaga1, Srikanth Prabhu1, Niranjana Sampathila2

  • 1Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India.

Diagnostics (Basel, Switzerland)
|March 11, 2023
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Summary
This summary is machine-generated.

Artificial intelligence (AI) aids in mpox research, from early diagnosis to drug discovery. This review highlights AI

Keywords:
artificial intelligencedeep learningmachine learningmonkeypoxmpox

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Area of Science:

  • Virology
  • Epidemiology
  • Artificial Intelligence
  • Public Health

Background:

  • Mpox (monkeypox) is a viral disease with a global outbreak, presenting symptoms like fever, chills, and skin rashes.
  • Early and accurate diagnosis is crucial for managing mpox spread.
  • Artificial intelligence (AI) offers promising tools for various aspects of mpox research.

Purpose of the Study:

  • To systematically review recent studies utilizing AI for mpox-related research.
  • To categorize AI applications in mpox detection, epidemiological modeling, drug/vaccine discovery, and risk management.
  • To provide a comprehensive overview of AI algorithms and their performance in mpox studies.

Main Methods:

  • Systematic literature search for AI applications in mpox research.
  • Selection of 34 studies based on predefined criteria.
  • Categorization of studies into diagnostic testing, epidemiological modeling, drug/vaccine discovery, and media risk management.

Main Results:

  • AI is applied in mpox detection across various modalities.
  • Machine learning (ML) and deep learning (DL) are utilized for epidemiological modeling and mitigating mpox spread.
  • Studies explored AI for drug and vaccine discovery and media risk management.

Conclusions:

  • AI demonstrates significant potential in advancing mpox research and control strategies.
  • This review serves as a valuable resource for researchers and data scientists in combating the mpox virus.
  • Further development and application of AI are essential for future public health interventions against mpox.