3 Things You Should Consider When Implementing AI in Healthcare

Original article was published by Eshan Samaranayake on Artificial Intelligence on Medium


3 Things You Should Consider When Implementing AI in Healthcare

#1 Consider what AI actually can and can’t do.

Artificial intelligence (AI) opens up a host of new diagnostic methods and treatments. Image via: Lucid Worlds

I believe every medical leader should consider how AI fits into their agenda. AI can provide a wide variety of opportunities, be it for analytical purposes or to simply automate administrative functions to ease the pressure off exhausted providers.

Artificial Intelligence (AI) is getting increasingly sophisticated at doing what humans do. They do it more efficiently, quickly, and at a lower cost. The potential for both AI in healthcare is vast. Just like in our every-day lives, AI is increasingly becoming a part of the healthcare system.

Using machine learning algorithms and deep learning, AI technology has the ability to gain information, process it, and give a well-defined output to the healthcare provider or the patient. These algorithms can recognize patterns in behaviour and create their own logic.

AI in healthcare is the use of complex algorithms and software to imitate human perception in the analysis, interpretation, and comprehension of complicated medical and healthcare data.