Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Perioperative Medicine: A Proposed Common Language With Applications to FDA-Approved Devices
7
Zitationen
6
Autoren
2022
Jahr
Abstract
. To demonstrate the applicability and utility of this terminology, these terms were applied to the artificial intelligence and machine-learning-based products that have gained Food and Drug Administration approval. During this review and categorization process, 22 algorithms were found with perioperative utility (in a database of 70 total algorithms), and 12 of these had publicly available citations. The primary aim of this work is to establish a common nomenclature that will expedite and simplify descriptions of algorithm requirements from clinicians to developers and explanations of appropriate model use and limitations from developers to clinicians.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.626 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.532 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.046 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.843 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.