Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
THE USE OF ARTIFICIAL INTELLIGENCE IN TRAUMATOLOGY: A SYSTEMATIC REVIEW AND RECOMMENDATIONS FOR CLINICAL PRACTICE
0
Zitationen
2
Autoren
2026
Jahr
Abstract
The rapid development of artificial intelligence (AI) technologies in the healthcare sector has attracted widespread attention from the global medical community. The potential of AI applications in the field of traumatology, which is a race against time, is particularly noticeable. Trauma is the leading cause of death among people under the age of 40 worldwide, and the effectiveness and quality of treatment are directly related to survival and prognosis for patients. The traditional trauma treatment model is limited by factors such as uneven distribution of medical resources, differences in professional experience, and delayed diagnostic solutions, and there are many challenges that need to be addressed urgently. The intervention of artificial intelligence has opened up the possibility of revolutionary changes in traumatology. The purpose of this study is to provide a comprehensive overview of the current state of artificial intelligence in all aspects of traumatology, an in-depth analysis of its clinical value and limitations, as well as to offer practical recommendations based on the latest data. Through a systematic review of existing research, we hope to provide doctors, researchers, and policy makers with authoritative background information on the use of AI in traumatology.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.357 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.221 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.640 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.482 Zit.