Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Invited Commentary: Transparent reporting of artificial intelligence models development and evaluation in surgery: The TRIPOD and DECIDE-AI checklists
4
Zitationen
2
Autoren
2023
Jahr
Abstract
With the rapid growth of surgical literature involving artificial intelligence (AI), the need for complete and structured reporting of AI studies has become more apparent. This commentary details how 2 reporting guidelines, the AI extension of the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD+AI)1 and the Developmental and Exploratory Clinical Investigations of DEcision-support systems driven by Artificial Intelligence (DECIDE-AI),2 can contribute to improving the completeness of reporting of studies describing the development and evaluation of AI models in surgery.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.402 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.270 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.702 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.507 Zit.