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How Can Artificial Intelligence Make Medicine More Preemptive?

In this paper we propose the idea that Artificial intelligence (AI) is ushering in a new era of “Earlier Medicine,” which is a predictive approach for disease prevention based on AI modeling and big data. The flourishing health care technological landscape is showing great potential—from diagnosis a...

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Detalles Bibliográficos
Autores principales: Iqbal, Usman, Celi, Leo Anthony, Li, Yu-Chuan Jack
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448175/
https://www.ncbi.nlm.nih.gov/pubmed/32780024
http://dx.doi.org/10.2196/17211
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author Iqbal, Usman
Celi, Leo Anthony
Li, Yu-Chuan Jack
author_facet Iqbal, Usman
Celi, Leo Anthony
Li, Yu-Chuan Jack
author_sort Iqbal, Usman
collection PubMed
description In this paper we propose the idea that Artificial intelligence (AI) is ushering in a new era of “Earlier Medicine,” which is a predictive approach for disease prevention based on AI modeling and big data. The flourishing health care technological landscape is showing great potential—from diagnosis and prescription automation to the early detection of disease through efficient and cost-effective patient data screening tools that benefit from the predictive capabilities of AI. Monitoring the trajectories of both in- and outpatients has proven to be a task AI can perform to a reliable degree. Predictions can be a significant advantage to health care if they are accurate, prompt, and can be personalized and acted upon efficiently. This is where AI plays a crucial role in “Earlier Medicine” implementation.
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spelling pubmed-74481752020-08-31 How Can Artificial Intelligence Make Medicine More Preemptive? Iqbal, Usman Celi, Leo Anthony Li, Yu-Chuan Jack J Med Internet Res Viewpoint In this paper we propose the idea that Artificial intelligence (AI) is ushering in a new era of “Earlier Medicine,” which is a predictive approach for disease prevention based on AI modeling and big data. The flourishing health care technological landscape is showing great potential—from diagnosis and prescription automation to the early detection of disease through efficient and cost-effective patient data screening tools that benefit from the predictive capabilities of AI. Monitoring the trajectories of both in- and outpatients has proven to be a task AI can perform to a reliable degree. Predictions can be a significant advantage to health care if they are accurate, prompt, and can be personalized and acted upon efficiently. This is where AI plays a crucial role in “Earlier Medicine” implementation. JMIR Publications 2020-08-11 /pmc/articles/PMC7448175/ /pubmed/32780024 http://dx.doi.org/10.2196/17211 Text en ©Usman Iqbal, Leo Anthony Celi, Yu-Chuan Jack Li. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.08.2020. 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 Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Viewpoint
Iqbal, Usman
Celi, Leo Anthony
Li, Yu-Chuan Jack
How Can Artificial Intelligence Make Medicine More Preemptive?
title How Can Artificial Intelligence Make Medicine More Preemptive?
title_full How Can Artificial Intelligence Make Medicine More Preemptive?
title_fullStr How Can Artificial Intelligence Make Medicine More Preemptive?
title_full_unstemmed How Can Artificial Intelligence Make Medicine More Preemptive?
title_short How Can Artificial Intelligence Make Medicine More Preemptive?
title_sort how can artificial intelligence make medicine more preemptive?
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448175/
https://www.ncbi.nlm.nih.gov/pubmed/32780024
http://dx.doi.org/10.2196/17211
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