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The use and future perspective of Artificial Intelligence—A survey among German surgeons

PURPOSE: Clinical abundance of artificial intelligence has increased significantly in the last decade. This survey aims to provide an overview of the current state of knowledge and acceptance of AI applications among surgeons in Germany. METHODS: A total of 357 surgeons from German university hospit...

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Autores principales: Pecqueux, Mathieu, Riediger, Carina, Distler, Marius, Oehme, Florian, Bork, Ulrich, Kolbinger, Fiona R., Schöffski, Oliver, van Wijngaarden, Peter, Weitz, Jürgen, Schweipert, Johannes, Kahlert, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580562/
https://www.ncbi.nlm.nih.gov/pubmed/36276381
http://dx.doi.org/10.3389/fpubh.2022.982335
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author Pecqueux, Mathieu
Riediger, Carina
Distler, Marius
Oehme, Florian
Bork, Ulrich
Kolbinger, Fiona R.
Schöffski, Oliver
van Wijngaarden, Peter
Weitz, Jürgen
Schweipert, Johannes
Kahlert, Christoph
author_facet Pecqueux, Mathieu
Riediger, Carina
Distler, Marius
Oehme, Florian
Bork, Ulrich
Kolbinger, Fiona R.
Schöffski, Oliver
van Wijngaarden, Peter
Weitz, Jürgen
Schweipert, Johannes
Kahlert, Christoph
author_sort Pecqueux, Mathieu
collection PubMed
description PURPOSE: Clinical abundance of artificial intelligence has increased significantly in the last decade. This survey aims to provide an overview of the current state of knowledge and acceptance of AI applications among surgeons in Germany. METHODS: A total of 357 surgeons from German university hospitals, academic teaching hospitals and private practices were contacted by e-mail and asked to participate in the anonymous survey. RESULTS: A total of 147 physicians completed the survey. The majority of respondents (n = 85, 52.8%) stated that they were familiar with AI applications in medicine. Personal knowledge was self-rated as average (n = 67, 41.6%) or rudimentary (n = 60, 37.3%) by the majority of participants. On the basis of various application scenarios, it became apparent that the respondents have different demands on AI applications in the area of “diagnosis confirmation” as compared to the area of “therapy decision.” For the latter category, the requirements in terms of the error level are significantly higher and more respondents view their application in medical practice rather critically. Accordingly, most of the participants hope that AI systems will primarily improve diagnosis confirmation, while they see their ethical and legal problems with regard to liability as the main obstacle to extensive clinical application. CONCLUSION: German surgeons are in principle positively disposed toward AI applications. However, many surgeons see a deficit in their own knowledge and in the implementation of AI applications in their own professional environment. Accordingly, medical education programs targeting both medical students and healthcare professionals should convey basic knowledge about the development and clinical implementation process of AI applications in different medical fields, including surgery.
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spelling pubmed-95805622022-10-20 The use and future perspective of Artificial Intelligence—A survey among German surgeons Pecqueux, Mathieu Riediger, Carina Distler, Marius Oehme, Florian Bork, Ulrich Kolbinger, Fiona R. Schöffski, Oliver van Wijngaarden, Peter Weitz, Jürgen Schweipert, Johannes Kahlert, Christoph Front Public Health Public Health PURPOSE: Clinical abundance of artificial intelligence has increased significantly in the last decade. This survey aims to provide an overview of the current state of knowledge and acceptance of AI applications among surgeons in Germany. METHODS: A total of 357 surgeons from German university hospitals, academic teaching hospitals and private practices were contacted by e-mail and asked to participate in the anonymous survey. RESULTS: A total of 147 physicians completed the survey. The majority of respondents (n = 85, 52.8%) stated that they were familiar with AI applications in medicine. Personal knowledge was self-rated as average (n = 67, 41.6%) or rudimentary (n = 60, 37.3%) by the majority of participants. On the basis of various application scenarios, it became apparent that the respondents have different demands on AI applications in the area of “diagnosis confirmation” as compared to the area of “therapy decision.” For the latter category, the requirements in terms of the error level are significantly higher and more respondents view their application in medical practice rather critically. Accordingly, most of the participants hope that AI systems will primarily improve diagnosis confirmation, while they see their ethical and legal problems with regard to liability as the main obstacle to extensive clinical application. CONCLUSION: German surgeons are in principle positively disposed toward AI applications. However, many surgeons see a deficit in their own knowledge and in the implementation of AI applications in their own professional environment. Accordingly, medical education programs targeting both medical students and healthcare professionals should convey basic knowledge about the development and clinical implementation process of AI applications in different medical fields, including surgery. Frontiers Media S.A. 2022-10-05 /pmc/articles/PMC9580562/ /pubmed/36276381 http://dx.doi.org/10.3389/fpubh.2022.982335 Text en Copyright © 2022 Pecqueux, Riediger, Distler, Oehme, Bork, Kolbinger, Schöffski, van Wijngaarden, Weitz, Schweipert and Kahlert. https://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 Public Health
Pecqueux, Mathieu
Riediger, Carina
Distler, Marius
Oehme, Florian
Bork, Ulrich
Kolbinger, Fiona R.
Schöffski, Oliver
van Wijngaarden, Peter
Weitz, Jürgen
Schweipert, Johannes
Kahlert, Christoph
The use and future perspective of Artificial Intelligence—A survey among German surgeons
title The use and future perspective of Artificial Intelligence—A survey among German surgeons
title_full The use and future perspective of Artificial Intelligence—A survey among German surgeons
title_fullStr The use and future perspective of Artificial Intelligence—A survey among German surgeons
title_full_unstemmed The use and future perspective of Artificial Intelligence—A survey among German surgeons
title_short The use and future perspective of Artificial Intelligence—A survey among German surgeons
title_sort use and future perspective of artificial intelligence—a survey among german surgeons
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580562/
https://www.ncbi.nlm.nih.gov/pubmed/36276381
http://dx.doi.org/10.3389/fpubh.2022.982335
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