The Role of Artificial Intelligence in the Control and Prevention of Infectious Diseases
Keywords:
Artificial intelligence, control, prevention, infection, infectious diseasesAbstract
Artificial intelligence (AI) is being used more and more in a wide range of industries, including healthcare, to improve operations by examining pertinent data. The detection and treatment of infectious diseases is one area where AI is extremely helpful. To uncover trends and create predictions concerning the transmission and treatment of infectious diseases, massive amounts of data can be analyzed using AI techniques like machine learning and deep learning. These techniques can also be used to forecast the effectiveness of a vaccine and study the protein structures of viruses. AI may also be used to swiftly examine data and make choices regarding how to effectively deploy resources to fight infectious diseases. In the face of pandemics like the COVID-19 virus, it is especially crucial to be able to promptly and precisely assess data. The effective mobilization of resources and precise evaluation and forecasting of viral epidemics made possible by the application of AI in healthcare can also aid in the improvement of disease management. However, there are challenges associated with incorporating AI into infectious disease prevention due to the inherent complexity of infectious diseases and the lack of knowledge about their origins. In conclusion, artificial intelligence (AI) has the potential to be a game-changer in the fight against infectious diseases by enabling scientists to review, analyze, and decide on the issues raised by infectious data, thereby enhancing public health and saving lives.
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Copyright (c) 2023 Journal of Health Informatics in Developing Countries

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