Cargando…

Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine

Technology has been integrated into every facet of human life, and whether it is completely advantageous remains unknown, but one thing is for sure; we are dependent on technology. Medical advances from the integration of artificial intelligence, machine learning, and augmented realities are widespr...

Descripción completa

Detalles Bibliográficos
Autores principales: Moawad, Gaby N., Elkhalil, Jad, Klebanoff, Jordan S., Rahman, Sara, Habib, Nassir, Alkatout, Ibrahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761251/
https://www.ncbi.nlm.nih.gov/pubmed/33255705
http://dx.doi.org/10.3390/jcm9123811
_version_ 1783627524714004480
author Moawad, Gaby N.
Elkhalil, Jad
Klebanoff, Jordan S.
Rahman, Sara
Habib, Nassir
Alkatout, Ibrahim
author_facet Moawad, Gaby N.
Elkhalil, Jad
Klebanoff, Jordan S.
Rahman, Sara
Habib, Nassir
Alkatout, Ibrahim
author_sort Moawad, Gaby N.
collection PubMed
description Technology has been integrated into every facet of human life, and whether it is completely advantageous remains unknown, but one thing is for sure; we are dependent on technology. Medical advances from the integration of artificial intelligence, machine learning, and augmented realities are widespread and have helped countless patients. Much of the advanced technology utilized by medical providers today has been borrowed and extrapolated from other industries. There remains no great collaboration between providers and engineers, which may be why medicine is only in its infancy of innovation with regards to advanced technologic integration. The purpose of this narrative review is to highlight the different technologies currently being utilized in a variety of medical specialties. Furthermore, we hope that by bringing attention to one shortcoming of the medical community, we may inspire future innovators to seek collaboration outside of the purely medical community for the betterment of all patients seeking care.
format Online
Article
Text
id pubmed-7761251
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-77612512020-12-26 Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine Moawad, Gaby N. Elkhalil, Jad Klebanoff, Jordan S. Rahman, Sara Habib, Nassir Alkatout, Ibrahim J Clin Med Review Technology has been integrated into every facet of human life, and whether it is completely advantageous remains unknown, but one thing is for sure; we are dependent on technology. Medical advances from the integration of artificial intelligence, machine learning, and augmented realities are widespread and have helped countless patients. Much of the advanced technology utilized by medical providers today has been borrowed and extrapolated from other industries. There remains no great collaboration between providers and engineers, which may be why medicine is only in its infancy of innovation with regards to advanced technologic integration. The purpose of this narrative review is to highlight the different technologies currently being utilized in a variety of medical specialties. Furthermore, we hope that by bringing attention to one shortcoming of the medical community, we may inspire future innovators to seek collaboration outside of the purely medical community for the betterment of all patients seeking care. MDPI 2020-11-25 /pmc/articles/PMC7761251/ /pubmed/33255705 http://dx.doi.org/10.3390/jcm9123811 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Moawad, Gaby N.
Elkhalil, Jad
Klebanoff, Jordan S.
Rahman, Sara
Habib, Nassir
Alkatout, Ibrahim
Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine
title Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine
title_full Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine
title_fullStr Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine
title_full_unstemmed Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine
title_short Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine
title_sort augmented realities, artificial intelligence, and machine learning: clinical implications and how technology is shaping the future of medicine
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761251/
https://www.ncbi.nlm.nih.gov/pubmed/33255705
http://dx.doi.org/10.3390/jcm9123811
work_keys_str_mv AT moawadgabyn augmentedrealitiesartificialintelligenceandmachinelearningclinicalimplicationsandhowtechnologyisshapingthefutureofmedicine
AT elkhaliljad augmentedrealitiesartificialintelligenceandmachinelearningclinicalimplicationsandhowtechnologyisshapingthefutureofmedicine
AT klebanoffjordans augmentedrealitiesartificialintelligenceandmachinelearningclinicalimplicationsandhowtechnologyisshapingthefutureofmedicine
AT rahmansara augmentedrealitiesartificialintelligenceandmachinelearningclinicalimplicationsandhowtechnologyisshapingthefutureofmedicine
AT habibnassir augmentedrealitiesartificialintelligenceandmachinelearningclinicalimplicationsandhowtechnologyisshapingthefutureofmedicine
AT alkatoutibrahim augmentedrealitiesartificialintelligenceandmachinelearningclinicalimplicationsandhowtechnologyisshapingthefutureofmedicine