How AI helps in Disease Surveillance?

 


When it comes to patient care and intelligent health systems, artificial intelligence can help providers. In the field of medicine, artificial intelligence methods, from machine learning to deep learning, are widely used for patient risk assessment, disease diagnosis, and drug discovery.

It might be difficult for public health experts and governments to gather information fast and come up with a solution when a strange disease suddenly appears. By automatically scanning online information and news reports, artificial intelligence technologies can assist professionals in identifying irregularities that could potentially lead to an outbreak. Even if it sounds difficult, using predictive modelling could offer a solution for eradicating contagious diseases.

Aside from infectious disease surveillance, AI can alert policymakers and epidemiologists when a new disease emerges. Artificial intelligence (AI)-based models have been created by researchers that can predict Zika Virus outbreaks in real time and predict how doctors would treat probable illnesses. AI can be used to instruct public health authorities on how to distribute resources in times of crisis.

AI also helps in the discovery and treatment of rare diseases as well as the research into new medications and vaccinations. The capacity to anticipate and keep track of outbreaks as they occur around-the-clock is a big advantage of adopting AI. Because people are easily distracted, artificial intelligence allows us to create machines that can keep an eye on everything that is going on in the world.

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