Journal of Postgraduate Medicine, Education and Research

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VOLUME 53 , ISSUE 1 ( January-March, 2019 ) > List of Articles

REVIEW ARTICLE

Accelerating Adoption of Artificial Intelligence in Healthcare

Siddharth Angrish

Keywords : Barriers to AI Adoption in Health Care, Limitations of AI,Artificial Intelligence in Health Care

Citation Information : Angrish S. Accelerating Adoption of Artificial Intelligence in Healthcare. J Postgrad Med Edu Res 2019; 53 (1):17-20.

DOI: 10.5005/jp-journals-10028-1306

License: CC BY-NC 4.0

Published Online: 00-03-2019

Copyright Statement:  Copyright © 2019; Jaypee Brothers Medical Publishers (P) Ltd.


Abstract

ABSTRACT Artificial intelligence (AI) has entered the popular mind for the past few years. Unlike many technical buzzwords, AI has stronger staying power. There has been a spurt in employing AI in many fields like aviation, package delivery to homes, stock trading, media, music, video games, telecom, and many others. However, the field of health has seen limited permeation, especially given its huge size. It should be noted that some branches in healthcare do have strong AI usage like robotic surgery, computer-aided diagnosis, clinical decision support systems, eye scan analysis, but they are limited to advanced institutions and highly trained doctors. AI can truly revolutionize healthcare when applications employing it can be used at the grassroots level. For medical practitioners, uninitiated in AI technologies, it could be hard to visualize the kind of problems AI can solve in their professional field. Several examples are also provided where healthcare could leverage AI for the benefit of the masses. For a couple of examples, more details to the problem and a corresponding AI based solution are also provided. Several barriers to AI adoption are also presented followed by a conclusion which suggests a simple strategy to boost AI adoption.


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