Artificial intelligence in perioperative medicine: a narrative review / 대한마취과학회지
Korean Journal of Anesthesiology
; : 202-215, 2022.
Article
en En
| WPRIM
| ID: wpr-926570
Biblioteca responsable:
WPRO
ABSTRACT
Recent advancements in artificial intelligence (AI) techniques have enabled the development of accurate prediction models using clinical big data. AI models for perioperative risk stratification, intraoperative event prediction, biosignal analyses, and intensive care medicine have been developed in the field of perioperative medicine. Some of these models have been validated using external datasets and randomized controlled trials. Once these models are implemented in electronic health record systems or software medical devices, they could help anesthesiologists improve clinical outcomes by accurately predicting complications and suggesting optimal treatment strategies in real-time. This review provides an overview of the AI techniques used in perioperative medicine and a summary of the studies that have been published using these techniques. Understanding these techniques will aid in their appropriate application in clinical practice.
Texto completo:
1
Índice:
WPRIM
Tipo de estudio:
Clinical_trials
/
Prognostic_studies
Idioma:
En
Revista:
Korean Journal of Anesthesiology
Año:
2022
Tipo del documento:
Article