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The era of artificial intelligence–based individualized telemedicine is coming
Artificial intelligence (AI), Internet of Things (IoT), and telemedicine are deeply involved in our daily life and have also been extensively applied in the medical field, especially in ophthalmology. Clinical ophthalmologists are required to perform a vast array of image exams and analyze images co...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647420/ https://www.ncbi.nlm.nih.gov/pubmed/32568967 http://dx.doi.org/10.1097/JCMA.0000000000000374 |
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author | Jheng, Ying-Chun Kao, Chung-Lan Yarmishyn, Aliaksandr A. Chou, Yu-Bai Hsu, Chih-Chien Lin, Tai-Chi Hu, Hou-Kai Ho, Ta-Kai Chen, Po-Yin Kao, Zih-Kai Chen, Shih-Jen Hwang, De-Kuang |
author_facet | Jheng, Ying-Chun Kao, Chung-Lan Yarmishyn, Aliaksandr A. Chou, Yu-Bai Hsu, Chih-Chien Lin, Tai-Chi Hu, Hou-Kai Ho, Ta-Kai Chen, Po-Yin Kao, Zih-Kai Chen, Shih-Jen Hwang, De-Kuang |
author_sort | Jheng, Ying-Chun |
collection | PubMed |
description | Artificial intelligence (AI), Internet of Things (IoT), and telemedicine are deeply involved in our daily life and have also been extensively applied in the medical field, especially in ophthalmology. Clinical ophthalmologists are required to perform a vast array of image exams and analyze images containing complicated information, which allows them to diagnose the disease type and grade, make a decision on remedy, and predict treatment outcomes. AI has a great potential to assist ophthalmologists in their daily routine of image analysis and relieve their work burden. However, in spite of these prospects, the application of AI may also be controversial and associated with several legal, ethical, and sociological concerns. In spite of these issues, AI has indeed become an irresistible trend and is widely used by medical specialists in their daily routines in what we can call now, the era of AI. This review will encompass those issues and focus on recent research on the AI application in ophthalmology and telemedicine. |
format | Online Article Text |
id | pubmed-7647420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-76474202020-11-12 The era of artificial intelligence–based individualized telemedicine is coming Jheng, Ying-Chun Kao, Chung-Lan Yarmishyn, Aliaksandr A. Chou, Yu-Bai Hsu, Chih-Chien Lin, Tai-Chi Hu, Hou-Kai Ho, Ta-Kai Chen, Po-Yin Kao, Zih-Kai Chen, Shih-Jen Hwang, De-Kuang J Chin Med Assoc Review Articles Artificial intelligence (AI), Internet of Things (IoT), and telemedicine are deeply involved in our daily life and have also been extensively applied in the medical field, especially in ophthalmology. Clinical ophthalmologists are required to perform a vast array of image exams and analyze images containing complicated information, which allows them to diagnose the disease type and grade, make a decision on remedy, and predict treatment outcomes. AI has a great potential to assist ophthalmologists in their daily routine of image analysis and relieve their work burden. However, in spite of these prospects, the application of AI may also be controversial and associated with several legal, ethical, and sociological concerns. In spite of these issues, AI has indeed become an irresistible trend and is widely used by medical specialists in their daily routines in what we can call now, the era of AI. This review will encompass those issues and focus on recent research on the AI application in ophthalmology and telemedicine. Lippincott Williams & Wilkins 2020-06-18 2020-11 /pmc/articles/PMC7647420/ /pubmed/32568967 http://dx.doi.org/10.1097/JCMA.0000000000000374 Text en Copyright © 2020, the Chinese Medical Association. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Review Articles Jheng, Ying-Chun Kao, Chung-Lan Yarmishyn, Aliaksandr A. Chou, Yu-Bai Hsu, Chih-Chien Lin, Tai-Chi Hu, Hou-Kai Ho, Ta-Kai Chen, Po-Yin Kao, Zih-Kai Chen, Shih-Jen Hwang, De-Kuang The era of artificial intelligence–based individualized telemedicine is coming |
title | The era of artificial intelligence–based individualized telemedicine is coming |
title_full | The era of artificial intelligence–based individualized telemedicine is coming |
title_fullStr | The era of artificial intelligence–based individualized telemedicine is coming |
title_full_unstemmed | The era of artificial intelligence–based individualized telemedicine is coming |
title_short | The era of artificial intelligence–based individualized telemedicine is coming |
title_sort | era of artificial intelligence–based individualized telemedicine is coming |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647420/ https://www.ncbi.nlm.nih.gov/pubmed/32568967 http://dx.doi.org/10.1097/JCMA.0000000000000374 |
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