Integrating Artificial Intelligence in Snakebite Management: An Innovative Approach

Authors

  • Ali Awadallah Saeed
  • Mohammed A. Mahdi
  • Intisar A. M. A. Elalawy
  • Samia Saeed Alawad
  • Omer Abdelhamid Gibree
  • Ahmed Hassan Fahal

Abstract

Snakebite envenomation poses a global health challenge that demands swift and efficient intervention. This communication delves into the potential of artificial intelligence (AI) to positively impact various aspects of snakebite management. AI introduces innovative solutions to augment snakebite management protocols' efficiency and effectiveness, from early detection and diagnosis to treatment planning and post-treatment monitoring. Moreover, this communication reviews ongoing research, addresses obstacles, and proposes future avenues for integrating AI in snakebite management. In proposing future avenues for incorporating AI in snakebite management, the communication envisions a collaborative effort between researchers, healthcare professionals, and technology developers. This synergy seeks to harness the full potential of AI in enhancing not only the efficiency and effectiveness of snakebite management but also the accessibility of advanced healthcare solutions to regions grappling with the burden of snakebite envenomation. As the exploration of AI applications in snakebite care continues to unfold, this communication stands as a catalyst for informed discourse, innovation, and, ultimately, a more resilient response to the global health challenge posed by snakebite envenomation.

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Published

2024-03-06

How to Cite

Saeed, A. A. ., Mahdi, M. A. ., Elalawy, I. A. M. A. ., Alawad, S. S. ., Gibree, O. A. ., & Fahal, A. H. . (2024). Integrating Artificial Intelligence in Snakebite Management: An Innovative Approach . Migration Letters, 21(5), 893–901. Retrieved from https://migrationletters.com/index.php/ml/article/view/9285

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Articles