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Artificial Intelligence in Medicine: Today and Tomorrow

Artificial intelligence-powered medical technologies are rapidly evolving into applicable solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of data provided by wearables, smartphones, and other mobile monitoring sensors in different areas of medicine. Current...

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Detalles Bibliográficos
Autores principales: Briganti, Giovanni, Le Moine, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7012990/
https://www.ncbi.nlm.nih.gov/pubmed/32118012
http://dx.doi.org/10.3389/fmed.2020.00027
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author Briganti, Giovanni
Le Moine, Olivier
author_facet Briganti, Giovanni
Le Moine, Olivier
author_sort Briganti, Giovanni
collection PubMed
description Artificial intelligence-powered medical technologies are rapidly evolving into applicable solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of data provided by wearables, smartphones, and other mobile monitoring sensors in different areas of medicine. Currently, only very specific settings in clinical practice benefit from the application of artificial intelligence, such as the detection of atrial fibrillation, epilepsy seizures, and hypoglycemia, or the diagnosis of disease based on histopathological examination or medical imaging. The implementation of augmented medicine is long-awaited by patients because it allows for a greater autonomy and a more personalized treatment, however, it is met with resistance from physicians which were not prepared for such an evolution of clinical practice. This phenomenon also creates the need to validate these modern tools with traditional clinical trials, debate the educational upgrade of the medical curriculum in light of digital medicine as well as ethical consideration of the ongoing connected monitoring. The aim of this paper is to discuss recent scientific literature and provide a perspective on the benefits, future opportunities and risks of established artificial intelligence applications in clinical practice on physicians, healthcare institutions, medical education, and bioethics.
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spelling pubmed-70129902020-02-28 Artificial Intelligence in Medicine: Today and Tomorrow Briganti, Giovanni Le Moine, Olivier Front Med (Lausanne) Medicine Artificial intelligence-powered medical technologies are rapidly evolving into applicable solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of data provided by wearables, smartphones, and other mobile monitoring sensors in different areas of medicine. Currently, only very specific settings in clinical practice benefit from the application of artificial intelligence, such as the detection of atrial fibrillation, epilepsy seizures, and hypoglycemia, or the diagnosis of disease based on histopathological examination or medical imaging. The implementation of augmented medicine is long-awaited by patients because it allows for a greater autonomy and a more personalized treatment, however, it is met with resistance from physicians which were not prepared for such an evolution of clinical practice. This phenomenon also creates the need to validate these modern tools with traditional clinical trials, debate the educational upgrade of the medical curriculum in light of digital medicine as well as ethical consideration of the ongoing connected monitoring. The aim of this paper is to discuss recent scientific literature and provide a perspective on the benefits, future opportunities and risks of established artificial intelligence applications in clinical practice on physicians, healthcare institutions, medical education, and bioethics. Frontiers Media S.A. 2020-02-05 /pmc/articles/PMC7012990/ /pubmed/32118012 http://dx.doi.org/10.3389/fmed.2020.00027 Text en Copyright © 2020 Briganti and Le Moine. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Briganti, Giovanni
Le Moine, Olivier
Artificial Intelligence in Medicine: Today and Tomorrow
title Artificial Intelligence in Medicine: Today and Tomorrow
title_full Artificial Intelligence in Medicine: Today and Tomorrow
title_fullStr Artificial Intelligence in Medicine: Today and Tomorrow
title_full_unstemmed Artificial Intelligence in Medicine: Today and Tomorrow
title_short Artificial Intelligence in Medicine: Today and Tomorrow
title_sort artificial intelligence in medicine: today and tomorrow
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7012990/
https://www.ncbi.nlm.nih.gov/pubmed/32118012
http://dx.doi.org/10.3389/fmed.2020.00027
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