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Requirement of artificial intelligence technology awareness for thoracic surgeons
BACKGROUND: We have recently witnessed incredible interest in computer-based, internet web-dependent mechanisms and artificial intelligence (AI)-dependent technique emergence in our day-to-day lives. In the recent era of COVID-19 pandemic, this nonhuman, machine-based technology has gained a lot of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254051/ http://dx.doi.org/10.1186/s43057-021-00053-4 |
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author | Darbari, Anshuman Kumar, Krishan Darbari, Shubhankar Patil, Prashant L. |
author_facet | Darbari, Anshuman Kumar, Krishan Darbari, Shubhankar Patil, Prashant L. |
author_sort | Darbari, Anshuman |
collection | PubMed |
description | BACKGROUND: We have recently witnessed incredible interest in computer-based, internet web-dependent mechanisms and artificial intelligence (AI)-dependent technique emergence in our day-to-day lives. In the recent era of COVID-19 pandemic, this nonhuman, machine-based technology has gained a lot of momentum. MAIN BODY OF THE ABSTRACT: The supercomputers and robotics with AI technology have shown the potential to equal or even surpass human experts’ accuracy in some tasks in the future. Artificial intelligence (AI) is prompting massive data interweaving with elements from many digital sources such as medical imaging sorting, electronic health records, and transforming healthcare delivery. But in thoracic surgical and our counterpart pulmonary medical field, AI’s main applications are still for interpretation of thoracic imaging, lung histopathological slide evaluation, physiological data interpretation, and biosignal testing only. The query arises whether AI-enabled technology-based or autonomous robots could ever do or provide better thoracic surgical procedures than current surgeons but it seems like an impossibility now. SHORT CONCLUSION: This review article aims to provide information pertinent to the use of AI to thoracic surgical specialists. In this review article, we described AI and related terminologies, current utilisation, challenges, potential, and current need for awareness of this technology. |
format | Online Article Text |
id | pubmed-8254051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-82540512021-07-06 Requirement of artificial intelligence technology awareness for thoracic surgeons Darbari, Anshuman Kumar, Krishan Darbari, Shubhankar Patil, Prashant L. Cardiothorac Surg Review BACKGROUND: We have recently witnessed incredible interest in computer-based, internet web-dependent mechanisms and artificial intelligence (AI)-dependent technique emergence in our day-to-day lives. In the recent era of COVID-19 pandemic, this nonhuman, machine-based technology has gained a lot of momentum. MAIN BODY OF THE ABSTRACT: The supercomputers and robotics with AI technology have shown the potential to equal or even surpass human experts’ accuracy in some tasks in the future. Artificial intelligence (AI) is prompting massive data interweaving with elements from many digital sources such as medical imaging sorting, electronic health records, and transforming healthcare delivery. But in thoracic surgical and our counterpart pulmonary medical field, AI’s main applications are still for interpretation of thoracic imaging, lung histopathological slide evaluation, physiological data interpretation, and biosignal testing only. The query arises whether AI-enabled technology-based or autonomous robots could ever do or provide better thoracic surgical procedures than current surgeons but it seems like an impossibility now. SHORT CONCLUSION: This review article aims to provide information pertinent to the use of AI to thoracic surgical specialists. In this review article, we described AI and related terminologies, current utilisation, challenges, potential, and current need for awareness of this technology. Springer Berlin Heidelberg 2021-07-03 2021 /pmc/articles/PMC8254051/ http://dx.doi.org/10.1186/s43057-021-00053-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Darbari, Anshuman Kumar, Krishan Darbari, Shubhankar Patil, Prashant L. Requirement of artificial intelligence technology awareness for thoracic surgeons |
title | Requirement of artificial intelligence technology awareness for thoracic surgeons |
title_full | Requirement of artificial intelligence technology awareness for thoracic surgeons |
title_fullStr | Requirement of artificial intelligence technology awareness for thoracic surgeons |
title_full_unstemmed | Requirement of artificial intelligence technology awareness for thoracic surgeons |
title_short | Requirement of artificial intelligence technology awareness for thoracic surgeons |
title_sort | requirement of artificial intelligence technology awareness for thoracic surgeons |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254051/ http://dx.doi.org/10.1186/s43057-021-00053-4 |
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