Application of artificial intelligence for prediction, diagnosis and treatment of infectious diseases

Abstract

The world has encountered considerable public health crises caused by infectious diseases. A disease is a state in which the normal physiological operation of the human body is disrupted due to internal or external factors. Identifying the mechanism of these pathogenic factors has led to the development of prediction, diagnosis, and treatment of infectious diseases. The application of artificial intelligence (AI) has revolutionized these processes. Unlike the approaches used in the past, AI can process large and complex data and forecast the coordinates of infectious diseases. The research presented here attempts to study the development of AI for the prediction, diagnosis, and treatment of infectious diseases, especially after the Corona pandemic. The findings indicate that AI, machine learning, deep learning, and artificial neural networks have shown new capabilities for classifying different data and predicting, diagnosing, and treating infectious diseases in recent years. However, the data provided as input to these technologies can be challenging, as they may not be free of cognitive bias due to human intervention.

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