AI in Healthcare

AI IN HEALTHCARE

Digital technology has liberated physicians, nurses and researchers to focus more mental energy on higher-level cognitive tasks and patient care. Artificial intelligence is poised to take this to the next level. Human decision-making is at its best when people are given limited, relevant information and enough time...

About 85% of my thinking time was spent getting into a position to think, to make a decision, to learn something I needed to know. Much more time went into finding or obtaining information than into digesting it Several hours of calculating were required to get the data into comparable form. When they were in comparable form, it took only a few seconds to determine what I needed to know.

The medical field must learn to better delegate repetitive, lower-level cognitive functions in order to allow medical professionals to focus more of their mental energy on higher-level thinking. To understand this need, lets start by looking at a quote from J.C.R. Licklider 1960 paper Man Computer Symbiosis.

Thanks to the digital revolution, medical professionals dont have to memorize nearly as much information as they did 50 years ago. Digital technology has liberated physicians, nurses and researchers to focus more mental energy on higher level cognitive tasks and patient care. Artificial intelligence is poised to take this to the next level.

As AI continues to advance, it has the potential to extend the power of human thinking in three critical areas: advanced computation, statistical analysis and hypothesis generation. These three areas correspond to three distinct waves (paywall) within AI development.