How is Artificial Intelligence Used in Healthcare?

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 really worth it? Well, 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 by far one of the best smart technologies that continue to transform the healthcare sector for the better.  Read on to find out more about the use of Artificial Intelligence in medicine.

What is Artificial Intelligence?

Before we delve deeper into health AI applications, it is vital that we 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 of the available ones are known as ‘narrow AI.’

Narrow AI simply refers to any machine that is capable of outperforming humans in a defined and structured task. Things tend to be different 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 huge potential for health AI application 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 launch of 5G network means machines can now process vast amounts of data in real-time without the hindrance of network reliability.

Machine learning, compute vision, and natural language processing has 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 reduced 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.