ARTIFICIAL INTELLIGENCE IN CLINICAL DIAGNOSTICS – AN INDIAN PERSPECTIVE

Arnab Roy¹ and B R Das^1,

¹Research & Development, SRL Limited, SV Road, Goregaon West, Mumbai 400062,Maharashtra, India.

Cite this paper:
Arnab Roy and B R Das. ARTIFICIAL INTELLIGENCE IN CLINICAL DIAGNOSTICS – AN INDIAN PERSPECTIVE. International Journal of Clinical and Diagnostic Research. 2019; 7(1):1-10. doi: 10.12691/ijcdr-7-1-1

Abstract

With changes in medical technologies and healthcare delivery methods, timelines and payment options, adoption of innovative tools to manage patient information and make decisions are becoming important. The need for analysis of a huge amount of data and quick decision-making has put artificial intelligence (AI)- enabled solutions at the forefront of the current wave of healthcare revolution. The aim of AI is to enable greater accessibility, understanding, correlation, action and ability of healthcare information. Nowadays, the capacity to extract information from disparate information sources, analyze large unstructured data sets and the abilityof natural language processing allow AI systems to tackle challenges in healthcare coordination that previously had no other means of recourse. In this article we intend to trace the journey of application of artificial intelligence in medical science, discuss its current status in clinical diagnostics and throw light on the AI solutions on the anvil with a focus on India.

Keywords:
Artificial Intelligence; clinical diagnostics; machine learning; natural language processing; data mining

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