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Role of artificial intelligence in early diagnosis and treatment of infectious diseases.

Authors :
Srivastava, Vartika
Kumar, Ravinder
Wani, Mohmmad Younus
Robinson, Keven
Ahmad, Aijaz
Source :
Infectious Diseases. Nov2024, p1-26. 26p. 3 Illustrations, 4 Charts.
Publication Year :
2024

Abstract

AbstractInfectious diseases remain a global health challenge, necessitating innovative approaches for their early diagnosis and effective treatment. Artificial Intelligence (AI) has emerged as a transformative force in healthcare, offering promising solutions to address this challenge. This review article provides a comprehensive overview of the pivotal role AI can play in the early diagnosis and treatment of infectious diseases. It explores how AI-driven diagnostic tools, including machine learning algorithms, deep learning, and image recognition systems, enhance the accuracy and efficiency of disease detection and surveillance. Furthermore, it delves into the potential of AI to predict disease outbreaks, optimise treatment strategies, and personalise interventions based on individual patient data and how AI can be used to gear up the drug discovery and development (D3) process.The ethical considerations, challenges, and limitations associated with the integration of AI in infectious disease management are also examined. By harnessing the capabilities of AI, healthcare systems can significantly improve their preparedness, responsiveness, and outcomes in the battle against infectious diseases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23744235
Database :
Academic Search Index
Journal :
Infectious Diseases
Publication Type :
Academic Journal
Accession number :
180872685
Full Text :
https://doi.org/10.1080/23744235.2024.2425712