[HTML][HTML] A systematic review of predictive accuracy via c-statistic of preoperative frailty tests for extended length of stay, post-operative complications, and mortality

RAN Dunlop, A Van Zundert - Saudi Journal of Anaesthesia, 2023 - journals.lww.com
Frailty, as an age-related syndrome of reduced physiological reserve, contributes
significantly to post-operative outcomes. With the aging population, frailty poses a significant …

An ensemble machine learning approach to predict postoperative mortality in older patients undergoing emergency surgery

SW Lee, EH Lee, IC Choi - BMC geriatrics, 2023 - Springer
Background Prediction of preoperative frailty risk in the emergency setting is a challenging
issue because preoperative evaluation cannot be done sufficiently. In a previous study, the …

Preoperative prediction of the need for arterial and central venous catheterization using machine learning techniques

J Suh, SW Lee - Scientific Reports, 2022 - nature.com
Some surgical patients require an arterial or central venous catheterization intraoperatively.
This decision relied solely on the experience of individual anesthesiologists; however, these …

Application of the new preoperative frailty risk score in elderly patients undergoing emergency surgery

SW Lee, KS Kim, SW Park, J Kim, JH Choi, S Lee… - Gerontology, 2022 - karger.com
Background: Predicting preoperative frailty risk in emergency surgery is difficult with limited
information because preoperative evaluation is not commonly performed properly. A recent …

[PDF][PDF] The future of artificial intelligence in perioperative nursing

N Nijkamp, E Wakefield - 2024 - acquire.cqu.edu.au
Artificial Intelligence (AI) stands poised at the forefront of health care innovation, promising
transformative advances across multiple domains. In the field of perioperative nursing …