Artificial Intelligence (AI) Revolution in Research: Transforming Data into Discovery

Abstract

Introduction
Artificial Intelligence (AI) has emerged as a Atransformative force in the dominion of research, reshaping the landscape across diverse
fields. AI refers to the simulation of human intelligence by a system or a machine. It implies a vast  term that encompasses machine learning and deep learning. AI is based firstly on 'intelligence' which refers to cognitive capacity of an individual to plan
learn and interpret. Secondly 'techne', a more wideranging ability to solve problems using technological objects. Although the intelligence remains the same measured by intelligence quotient (IQ) for many decades now, it is the change in techne that leads to
amplification of intelligence.

Use of AI in healthcare and biomedical sciences is based on development of algorithms. This requires a sound knowledge of programming languages, advanced mathematics and statistics. In healthcare AI cannot be used fairly if these skills are lacking.
However visual and no code programming tools  available now with free data science tools make it easy for clinicians, researchers and health journalists.