Artificial Intelligence versus Healthcare and Medical System: An Editorial

Authors: Mishra S , Gupta P, , Mishra MK and Ahmad M

DOI: 10.23880/oajda-16000160

Volume 3, Issue 1

Abstract

Artificial intelligence (AI) research within medicine is growing rapidly. Healthcare AI projects attracted more investment than AI projects within any other sector of the global economy. Nevertheless, among the excitement, there is equal scepticism, with some urging caution at inflated expectations. Since the turn of the century, AI has also been successfully progressive into the fields of medicine and health care. The core of evidence-based medicine is using historical data to inform clinical decision making. This task has traditionally been tackled by statistical methods, which describe patterns in data as mathematical equations. For instance, neural networks use a large number of interconnected neurons to represent data in a manner akin to that of the human brain. These include the availability of robust and reasonably priced computing (processing) tools, hardware (such as graphics processing units), software, and applications- even in consumer-grade personal computers and mobile devices- and large (big) data sets with a wide variety of information types and formats, both in online and cloud platforms and produced in real time by wearable technology and the internet of things (IoT); the growth of open source coding resources and online communities of practitioners and users exchanging resources, know-how, and experience; and the integration of computer processing with other technologies like photonics (the fusion of applied optics and electronics) and human-machine interfaces.

Keywords: Artificial Intelligence; Healthcare; Medicine; Global Economy

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