Using artificial intelligence to predict mechanical ventilation weaning success in patients with respiratory failure, including those with acute respiratory distress …
T Stivi, D Padawer, N Dirini, A Nachshon… - Journal of Clinical …, 2024 - mdpi.com
The management of mechanical ventilation (MV) remains a challenge in intensive care units
(ICUs). The digitalization of healthcare and the implementation of artificial intelligence (AI) …
(ICUs). The digitalization of healthcare and the implementation of artificial intelligence (AI) …
Machine learning for predicting successful extubation in patients receiving mechanical ventilation
Y Igarashi, K Ogawa, K Nishimura, S Osawa… - Frontiers in …, 2022 - frontiersin.org
Ventilator liberation is one of the most critical decisions in the intensive care unit; however,
prediction of extubation failure is difficult, and the proportion thereof remains high. Machine …
prediction of extubation failure is difficult, and the proportion thereof remains high. Machine …
The combination of radiomics features and VASARI standard to predict glioma grade
W You, Y Mao, X Jiao, D Wang, J Liu, P Lei… - Frontiers in …, 2023 - frontiersin.org
Background and Purpose Radiomics features and The Visually AcceSAble Rembrandt
Images (VASARI) standard appear to be quantitative and qualitative evaluations utilized to …
Images (VASARI) standard appear to be quantitative and qualitative evaluations utilized to …
Lung ultrasound score as a predictor of failure to wean COVID-19 elderly patients off mechanical ventilation: a prospective observational study
Y Wang, Y Yi, F Zhang, YY Yao, YX Chen… - … Interventions in Aging, 2024 - Taylor & Francis
Background The lung ultrasound score was developed for rapidly assessing the extent of
lung ventilation, and it can predict failure to wean various types of patients off mechanical …
lung ventilation, and it can predict failure to wean various types of patients off mechanical …
Explainable machine learning approach to predict extubation in critically ill ventilated patients: a retrospective study in central Taiwan
Background Weaning from mechanical ventilation (MV) is an essential issue in critically ill
patients, and we used an explainable machine learning (ML) approach to establish an …
patients, and we used an explainable machine learning (ML) approach to establish an …
Risk factor analysis and multiple predictive machine learning models for mortality in COVID-19: a multicenter and multi-ethnic cohort study
Y Shi, Y Qin, Z Zheng, P Wang, J Liu - The Journal of Emergency Medicine, 2023 - Elsevier
Background The COVID-19 pandemic presents a significant challenge to the global health
care system. Implementing timely, accurate, and cost-effective screening approaches is …
care system. Implementing timely, accurate, and cost-effective screening approaches is …
Humidified noninvasive ventilation versus high-flow therapy to prevent reintubation in patients with obesity: a randomized clinical trial
G Hernández, J Dianti, I Paredes, F Moran… - American Journal of …, 2025 - atsjournals.org
Rationale: The optimal strategy to prevent reintubation in patients with obesity remains
uncertain. Objectives: We aimed to determine whether noninvasive ventilation (NIV) with …
uncertain. Objectives: We aimed to determine whether noninvasive ventilation (NIV) with …
[HTML][HTML] The intervention of artificial intelligence to improve the weaning outcomes of patients with mechanical ventilation: Practical applications in the medical …
YH Lin, TC Chang, CF Liu, CC Lai, CM Chen, W Chou - Medicine, 2024 - journals.lww.com
Patients admitted to intensive care units (ICU) and receiving mechanical ventilation (MV)
may experience ventilator-associated adverse events and have prolonged ICU length of …
may experience ventilator-associated adverse events and have prolonged ICU length of …
Physical frailty identification using machine learning to explore the 5-item FRAIL scale, Cardiovascular Health Study index, and Study of Osteoporotic Fractures index
CC Yang, PH Chen, CH Yang, CY Dai… - Frontiers in Public …, 2024 - frontiersin.org
Background Physical frailty is an important issue in aging societies. Three models of
physical frailty assessment, the 5-Item fatigue, resistance, ambulation, illness and loss of …
physical frailty assessment, the 5-Item fatigue, resistance, ambulation, illness and loss of …
Biomarkers as predictors of mortality in critically ill obese patients with COVID-19 at high altitude
JL Vélez-Páez, SX Aguayo-Moscoso… - BMC Pulmonary …, 2023 - Springer
Background Obesity is a common chronic comorbidity of patients with COVID-19, that has
been associated with disease severity and mortality. COVID-19 at high altitude seems to be …
been associated with disease severity and mortality. COVID-19 at high altitude seems to be …