Things to Know about Health AI Applications

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There has been a significant increase in health AI applications in the last couple of years.

There has been a significant increase in health AI applications in the last couple of years. With its soaring popularity, you might be wondering- is the hype around Artificial Intelligence (AI) for healthcare worth it? There is nothing to worry about since you are not to blame.

 

Many people seem not to understand what goes into using AI in healthcare. Either way, this is one of the best intelligent technologies that continue to transform the healthcare sector. Read on to find out more about Artificial Intelligence in medicine.

 

What is Artificial Intelligence?

Before we delve deeper into health AI applications, we must understand what it entails in the first place. Generally speaking, you can refer to artificial intelligence as any task performed by a machine that would have previously been considered to require human intelligence. Even though there is no machine capable of human-like intelligence, most available ones are known as 'narrow AI.'

 

Narrow AI refers to any machine capable of outperforming humans in a defined and structured task. Things tend to differ with General AI as it takes narrow applications to the next level.

 

How Is AI Used in Healthcare?

Now that you have insights into what artificial intelligence entails, it is time to look at its use case in the healthcare sector. The massive potential for health AI applications across several end-users such as healthcare providers, hospitals, pharmaceutical companies, and patients makes the industry a prime investment opportunity.

 

And with the improving models and algorithms coupled with access to data and decreasing hardware costs opens the door to more ambitious AI solutions. Furthermore, the 5G network launch means machines can now process vast amounts of data in real-time without the hindrance of network reliability.

 

Machine learning, computing vision, and natural language processing have the potential to drive clinical decision-making for physicians and staff. Well, all these are subsets of Artificial Intelligence.

 

The Bottom Line

Health AI application offers a host of benefits to all parties involved. From increased efficiency of the diagnostic process and reduce overall costs of running the business to easy information sharing, we can never downplay the role of Artificial Intelligence in helping shape the health sector for the better. No wonder it will continue to be used widely in different areas.

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