2022
DOI: 10.3389/fpubh.2022.982335
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The use and future perspective of Artificial Intelligence—A survey among German surgeons

Abstract: PurposeClinical 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.MethodsA 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.ResultsA total of 147 physicians completed the survey. The majority of respondents (n = 85,… Show more

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Cited by 15 publications
(15 citation statements)
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“…In addition to the clinical setting, the use of AI could assist surgeons during intervention ( 15 ) and lead to more precise and minimally invasive surgical techniques ( 16 ).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition to the clinical setting, the use of AI could assist surgeons during intervention ( 15 ) and lead to more precise and minimally invasive surgical techniques ( 16 ).…”
Section: Resultsmentioning
confidence: 99%
“…The topic of time emerges also from the surveys of Pecqueux et al ( 16 ), in terms of reduction of time spent by specialists on monotonous tasks, and of Emiroglu et al ( 9 ), in terms of possibility to get to a rapid diagnosis and to examine a larger number of patients. Moreover, AI may filter out non-complex cases letting a greater focus of specialists on more challenging cases ( 18 ).…”
Section: Resultsmentioning
confidence: 99%
“…While some patients have reservations about the use of autonomous AI in their care, many are supportive of its use to aid a human clinician in decision-making capacities [15][16][17]. Surgeons, too, have been found to have mixed views on the technology, with the greatest consensus being found in the use of AI as a decision support tool rather than an autonomous decision-maker [18,19]. Any potential AI solution or support for intra-operative decision-making clearly needs careful evaluation and validation.…”
Section: Discussionmentioning
confidence: 99%
“…The proposed signature was developed using a combination of CT-derived radiomic features and clinical variables. Limited interpretability of predictive machine learning tools has been linked with reduced trust in their performance and consequently, lower practical application 31,32 . Therefore, we explored associations between clinically validated CR-POPF risk factors and relevant radiomic features.…”
Section: Discussionmentioning
confidence: 99%