UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFV06011


Registration ID:
510504

Page Number

50-53

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Title

SURVEY ON ARTIFICIAL INTELLIGENCE

Abstract

In several sectors, including medicine, artificial intelligence (AI) is quickly transitioning from an experimental phase to an application phase. Major performance gains in the creation of AI applications have been made possible by the greater accessibility of massive datasets, rising computing power, and improvements in learning algorithms. Deep learning AI algorithms have produced fast improved performance in speech recognition, caption generation, and image recognition during the past five years. Particularly, radiology is a strong contender for early implementation of these methods. The application of AI in radiology is expected to transform radiologists' workflows and improve radiology's quality, value, and depth of contribution to patient care and public health over the course of the next ten years. The Canadian Association of Radiologists (CAR) is the organisation representing radiology at the national level and is dedicated to advancing the best practises in imaging that is patient-centered, lifelong learning, and research. An AI working group has been established by the CAR with the goal of discussing and deliberating on problems pertaining to patient care, policy, and practise that are connected to the introduction and use of AI in imaging. In this white paper, recommendations for the CAR are given as a result of discussions among the working group's AI members. The purpose of this white paper on artificial intelligence in radiology is to provide CAR members and policymakers with information on key terminology, member educational needs, research and development, partnerships, potential clinical applications, implementation, structure and governance, role of radiologists, and potential effects of AI on radiology in Canada.

Key Words

SURVEY ON ARTIFICIAL INTELLIGENCE

Cite This Article

"SURVEY ON ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.50-53, March-2023, Available :http://www.jetir.org/papers/JETIRFV06011.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SURVEY ON ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. pp50-53, March-2023, Available at : http://www.jetir.org/papers/JETIRFV06011.pdf

Publication Details

Published Paper ID: JETIRFV06011
Registration ID: 510504
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: 50-53
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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