Artificial intelligence improving Healthcare
In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. The term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".
As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect. A quip in Tesler's Theorem says "AI is whatever hasn't been done yet."For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology. Modern machine capabilities generally classified as AI include successfully understanding human speech, competing at the highest level in strategic game systems (such as chess and Go), autonomously operating cars, intelligent routing in content delivery networks, and military simulations.
WHAT IS AI?
Artificial Intelligence was initially conceptualized in the 1950s with the goal of enabling a machine or computer to think and learn like humans. AI is widely used by companies like Facebook (e.g. recognising who is in a photo), and Google (e.g. providing search suggestions, or identifying the fastest route to drive). However, in the healthcare industry, AI has only made small steps towards a vast and multidimensional opportunity.
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE:
Is the use of complex algorithms and software to estimate human cognition in the analysis of complicated medical data. Specifically, AI is the ability for computer algorithms to approximate conclusions without direct human input. What distinguishes AI technology from traditional technologies in health care is the ability to gain information, process it and give a well-defined output to the end-user. AI does this through machine learning algorithms. These algorithms can recognize patterns in behavior and create its own logic. In order to reduce the margin of error, AI algorithms need to be tested repeatedly.
HOW IS AI USED TODAY IN HEALTHCARE?
There are various capacities where AI is emerging as a game-changer for healthcare industry. Below are a few examples in use today:
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