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Artificial intelligence in thoracic surgery: past, present, perspective and limits

Artificial intelligence (AI) technology is becoming prevalent in many areas of everyday life. The healthcare industry is concerned by it even though its widespread use is still limited. Thoracic surgeons should be aware of the new opportunities that could affect their daily practice, by direct use o...

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Autores principales: Etienne, Harry, Hamdi, Sarah, Le Roux, Marielle, Camuset, Juliette, Khalife-Hocquemiller, Theresa, Giol, Mihaela, Debrosse, Denis, Assouad, Jalal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488625/
https://www.ncbi.nlm.nih.gov/pubmed/32817112
http://dx.doi.org/10.1183/16000617.0010-2020
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author Etienne, Harry
Hamdi, Sarah
Le Roux, Marielle
Camuset, Juliette
Khalife-Hocquemiller, Theresa
Giol, Mihaela
Debrosse, Denis
Assouad, Jalal
author_facet Etienne, Harry
Hamdi, Sarah
Le Roux, Marielle
Camuset, Juliette
Khalife-Hocquemiller, Theresa
Giol, Mihaela
Debrosse, Denis
Assouad, Jalal
author_sort Etienne, Harry
collection PubMed
description Artificial intelligence (AI) technology is becoming prevalent in many areas of everyday life. The healthcare industry is concerned by it even though its widespread use is still limited. Thoracic surgeons should be aware of the new opportunities that could affect their daily practice, by direct use of AI technology or indirect use via related medical fields (radiology, pathology and respiratory medicine). The objective of this article is to review applications of AI related to thoracic surgery and discuss the limits of its application in the European Union. Key aspects of AI will be developed through clinical pathways, beginning with diagnostics for lung cancer, a prognostic-aided programme for decision making, then robotic surgery, and finishing with the limitations of AI, the legal and ethical issues relevant to medicine. It is important for physicians and surgeons to have a basic knowledge of AI to understand how it impacts healthcare, and to consider ways in which they may interact with this technology. Indeed, synergy across related medical specialties and synergistic relationships between machines and surgeons will likely accelerate the capabilities of AI in augmenting surgical care.
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spelling pubmed-94886252022-11-14 Artificial intelligence in thoracic surgery: past, present, perspective and limits Etienne, Harry Hamdi, Sarah Le Roux, Marielle Camuset, Juliette Khalife-Hocquemiller, Theresa Giol, Mihaela Debrosse, Denis Assouad, Jalal Eur Respir Rev Reviews Artificial intelligence (AI) technology is becoming prevalent in many areas of everyday life. The healthcare industry is concerned by it even though its widespread use is still limited. Thoracic surgeons should be aware of the new opportunities that could affect their daily practice, by direct use of AI technology or indirect use via related medical fields (radiology, pathology and respiratory medicine). The objective of this article is to review applications of AI related to thoracic surgery and discuss the limits of its application in the European Union. Key aspects of AI will be developed through clinical pathways, beginning with diagnostics for lung cancer, a prognostic-aided programme for decision making, then robotic surgery, and finishing with the limitations of AI, the legal and ethical issues relevant to medicine. It is important for physicians and surgeons to have a basic knowledge of AI to understand how it impacts healthcare, and to consider ways in which they may interact with this technology. Indeed, synergy across related medical specialties and synergistic relationships between machines and surgeons will likely accelerate the capabilities of AI in augmenting surgical care. European Respiratory Society 2020-08-19 /pmc/articles/PMC9488625/ /pubmed/32817112 http://dx.doi.org/10.1183/16000617.0010-2020 Text en Copyright ©ERS 2020. https://creativecommons.org/licenses/by-nc/4.0/This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0.
spellingShingle Reviews
Etienne, Harry
Hamdi, Sarah
Le Roux, Marielle
Camuset, Juliette
Khalife-Hocquemiller, Theresa
Giol, Mihaela
Debrosse, Denis
Assouad, Jalal
Artificial intelligence in thoracic surgery: past, present, perspective and limits
title Artificial intelligence in thoracic surgery: past, present, perspective and limits
title_full Artificial intelligence in thoracic surgery: past, present, perspective and limits
title_fullStr Artificial intelligence in thoracic surgery: past, present, perspective and limits
title_full_unstemmed Artificial intelligence in thoracic surgery: past, present, perspective and limits
title_short Artificial intelligence in thoracic surgery: past, present, perspective and limits
title_sort artificial intelligence in thoracic surgery: past, present, perspective and limits
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488625/
https://www.ncbi.nlm.nih.gov/pubmed/32817112
http://dx.doi.org/10.1183/16000617.0010-2020
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