Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
[Artificial intelligence in pediatric surgery : Present and future].
1
Zitationen
3
Autoren
2020
Jahr
Abstract
BACKGROUND: Artificial intelligence, automatization and digital transformation increasingly dominate the business models of almost all enterprises. Even in medicine and medical technology, companies also no longer close their minds to this development as the advantages provided by the new ideas and processes in medicine and particularly in compact disciplines, such as pediatric surgery have occasionally been recognized. OBJECTIVE: This article gives a status quo analysis of artificial intelligence in international pediatric surgery with a discussion of future perspectives and suggestions from the authors' perspective. MATERIAL AND METHODS: Appraisal and discussion of international publications, external expert opinions and personal experiences of the authors. RESULTS: A wide spectrum of applications using artificial intelligence in surgery is internationally available. Many of these developments can also be further adapted for use in pediatric surgery. The experience using artificial intelligence for special pediatric surgical indications is currently limited to isolated cases. CONCLUSION: Disciplines such as pediatric surgery cannot disregard the trend towards the application of artificial intelligence in daily practice. In addition to the establishment of current developments, the requirements of pediatric surgery should also be taken into account. These were some of the impulses that led to the founding of the working group on digitalization of the German Association for Pediatric Surgery in September 2019.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.635 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.543 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.051 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.844 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.