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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2019
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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. |
format | Online Article Text |
id | pubmed-6473209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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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