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Artificial Intelligence in Clinical Health Care Applications: Viewpoint

The idea of artificial intelligence (AI) has a long history. It turned out, however, that reaching intelligence at human levels is more complicated than originally anticipated. Currently, we are experiencing a renewed interest in AI, fueled by an enormous increase in computing power and an even larg...

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Autores principales: van Hartskamp, Michael, Consoli, Sergio, Verhaegh, Wim, Petkovic, Milan, van de Stolpe, Anja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473209/
https://www.ncbi.nlm.nih.gov/pubmed/30950806
http://dx.doi.org/10.2196/12100
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author van Hartskamp, Michael
Consoli, Sergio
Verhaegh, Wim
Petkovic, Milan
van de Stolpe, Anja
author_facet van Hartskamp, Michael
Consoli, Sergio
Verhaegh, Wim
Petkovic, Milan
van de Stolpe, Anja
author_sort van Hartskamp, Michael
collection PubMed
description The idea of artificial intelligence (AI) has a long history. It turned out, however, that reaching intelligence at human levels is more complicated than originally anticipated. Currently, we are experiencing a renewed interest in AI, fueled by an enormous increase in computing power and an even larger increase in data, in combination with improved AI technologies like deep learning. Healthcare is considered the next domain to be revolutionized by artificial intelligence. While AI approaches are excellently suited to develop certain algorithms, for biomedical applications there are specific challenges. We propose six recommendations—the 6Rs—to improve AI projects in the biomedical space, especially clinical health care, and to facilitate communication between AI scientists and medical doctors: (1) Relevant and well-defined clinical question first; (2) Right data (ie, representative and of good quality); (3) Ratio between number of patients and their variables should fit the AI method; (4) Relationship between data and ground truth should be as direct and causal as possible; (5) Regulatory ready; enabling validation; and (6) Right AI method.
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spelling pubmed-64732092019-05-08 Artificial Intelligence in Clinical Health Care Applications: Viewpoint van Hartskamp, Michael Consoli, Sergio Verhaegh, Wim Petkovic, Milan van de Stolpe, Anja Interact J Med Res Viewpoint The idea of artificial intelligence (AI) has a long history. It turned out, however, that reaching intelligence at human levels is more complicated than originally anticipated. Currently, we are experiencing a renewed interest in AI, fueled by an enormous increase in computing power and an even larger increase in data, in combination with improved AI technologies like deep learning. Healthcare is considered the next domain to be revolutionized by artificial intelligence. While AI approaches are excellently suited to develop certain algorithms, for biomedical applications there are specific challenges. We propose six recommendations—the 6Rs—to improve AI projects in the biomedical space, especially clinical health care, and to facilitate communication between AI scientists and medical doctors: (1) Relevant and well-defined clinical question first; (2) Right data (ie, representative and of good quality); (3) Ratio between number of patients and their variables should fit the AI method; (4) Relationship between data and ground truth should be as direct and causal as possible; (5) Regulatory ready; enabling validation; and (6) Right AI method. JMIR Publications 2019-04-05 /pmc/articles/PMC6473209/ /pubmed/30950806 http://dx.doi.org/10.2196/12100 Text en ©Michael van Hartskamp, Sergio Consoli, Wim Verhaegh, Milan Petkovic, Anja van de Stolpe. Originally published in the Interactive Journal of Medical Research (http://www.i-jmr.org/), 05.04.2019. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Interactive Journal of Medical Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.i-jmr.org/, as well as this copyright and license information must be included.
spellingShingle Viewpoint
van Hartskamp, Michael
Consoli, Sergio
Verhaegh, Wim
Petkovic, Milan
van de Stolpe, Anja
Artificial Intelligence in Clinical Health Care Applications: Viewpoint
title Artificial Intelligence in Clinical Health Care Applications: Viewpoint
title_full Artificial Intelligence in Clinical Health Care Applications: Viewpoint
title_fullStr Artificial Intelligence in Clinical Health Care Applications: Viewpoint
title_full_unstemmed Artificial Intelligence in Clinical Health Care Applications: Viewpoint
title_short Artificial Intelligence in Clinical Health Care Applications: Viewpoint
title_sort artificial intelligence in clinical health care applications: viewpoint
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473209/
https://www.ncbi.nlm.nih.gov/pubmed/30950806
http://dx.doi.org/10.2196/12100
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