The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine

The last decade has seen a huge surge in interest surrounding artificial intelligence (AI). AI has been around since the 1950s, although technological limitations in the early days meant performance was initially inferior compared to humans.(1) With rapid progression of algorithm design, growth of v...

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Detalles Bibliográficos
Autores principales: Lee, Louise I T, Kanthasamy, Senthooran, Ayyalaraju, Radha S, Ganatra, Rakesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2019
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592467/
https://www.ncbi.nlm.nih.gov/pubmed/33178956
http://dx.doi.org/10.1259/bjro.20190037
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author Lee, Louise I T
Kanthasamy, Senthooran
Ayyalaraju, Radha S
Ganatra, Rakesh
author_facet Lee, Louise I T
Kanthasamy, Senthooran
Ayyalaraju, Radha S
Ganatra, Rakesh
author_sort Lee, Louise I T
collection PubMed
description The last decade has seen a huge surge in interest surrounding artificial intelligence (AI). AI has been around since the 1950s, although technological limitations in the early days meant performance was initially inferior compared to humans.(1) With rapid progression of algorithm design, growth of vast digital datasets and development of powerful computing power, AI now has the capability to outperform humans. Consequently, the integration of AI into the modern world is skyrocketing. This review article will give an overview of the use of AI in the modern world and discuss current and potential uses in healthcare, with a particular focus on its applications and likely impact in medical imaging. We will discuss the consequences and challenges of AI integration into healthcare.
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spelling pubmed-75924672020-11-10 The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine Lee, Louise I T Kanthasamy, Senthooran Ayyalaraju, Radha S Ganatra, Rakesh BJR Open Review Article The last decade has seen a huge surge in interest surrounding artificial intelligence (AI). AI has been around since the 1950s, although technological limitations in the early days meant performance was initially inferior compared to humans.(1) With rapid progression of algorithm design, growth of vast digital datasets and development of powerful computing power, AI now has the capability to outperform humans. Consequently, the integration of AI into the modern world is skyrocketing. This review article will give an overview of the use of AI in the modern world and discuss current and potential uses in healthcare, with a particular focus on its applications and likely impact in medical imaging. We will discuss the consequences and challenges of AI integration into healthcare. The British Institute of Radiology. 2019-10-16 /pmc/articles/PMC7592467/ /pubmed/33178956 http://dx.doi.org/10.1259/bjro.20190037 Text en © 2019 The Authors. Published by the British Institute of Radiology This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
spellingShingle Review Article
Lee, Louise I T
Kanthasamy, Senthooran
Ayyalaraju, Radha S
Ganatra, Rakesh
The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine
title The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine
title_full The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine
title_fullStr The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine
title_full_unstemmed The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine
title_short The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine
title_sort current state of artificial intelligence in medical imaging and nuclear medicine
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592467/
https://www.ncbi.nlm.nih.gov/pubmed/33178956
http://dx.doi.org/10.1259/bjro.20190037
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