[PDF][PDF] Clinical artificial intelligence: Design principles and fallacies
Summary In this work, we (1) outline the design process of clinical ML/AI tools;(2) identify
several key design questions one must consider when developing such a tool, including …
several key design questions one must consider when developing such a tool, including …
Challenges and opportunities in enhanced recovery after surgery programs: An overview
V Gottumukkala, GP Joshi - Indian Journal of Anaesthesia, 2024 - journals.lww.com
Abstract Enhanced Recovery After Surgery (ERAS) programs were developed as evidence-
based, multi-disciplinary interventions in all the perioperative phases to minimise the …
based, multi-disciplinary interventions in all the perioperative phases to minimise the …
Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data
Objective This study aims to develop high-performing Machine Learning and Deep Learning
models in predicting hospital length of stay (LOS) while enhancing interpretability. We …
models in predicting hospital length of stay (LOS) while enhancing interpretability. We …
Impact of wearable wireless continuous vital sign monitoring in abdominal surgical patients: before–after study
JPL Leenen, V Ardesch, CJ Kalkman… - BJS open, 2024 - academic.oup.com
Background Technological advances have enabled continuous monitoring of vital signs
(CMVS) by wearable, wireless devices on general hospital wards to facilitate early detection …
(CMVS) by wearable, wireless devices on general hospital wards to facilitate early detection …
Effect of Sarcopenia and frailty on outcomes among patients with brain metastases
Purpose Sarcopenia and frailty have been associated with increased mortality and duration
of hospitalization in cancer. However, data investigating these effects in patients with brain …
of hospitalization in cancer. However, data investigating these effects in patients with brain …
Geriatric nutritional risk index and adverse medical outcomes among Egyptian patients admitted to a geriatric hospital: a prospective cohort study
Background Elderly are one of the most heterogeneous and vulnerable groups who have a
higher risk of nutritional problems. Malnutrition is prevalent among hospitalized elderly but …
higher risk of nutritional problems. Malnutrition is prevalent among hospitalized elderly but …
Predicting hospital length of stay using machine learning on a large open health dataset
Background Governments worldwide are facing growing pressure to increase transparency,
as citizens demand greater insight into decision-making processes and public spending. An …
as citizens demand greater insight into decision-making processes and public spending. An …
Prediction of intensive care unit length of stay in the MIMIC-IV dataset
Accurately estimating the length of stay (LOS) of patients admitted to the intensive care unit
(ICU) in relation to their health status helps healthcare management allocate appropriate …
(ICU) in relation to their health status helps healthcare management allocate appropriate …
Predicting the stay length of patients in hospitals using convolutional gated recurrent deep learning model
Predicting hospital length of stay (LoS) stands as a critical factor in shaping public health
strategies. This data serves as a cornerstone for governments to discern trends, patterns …
strategies. This data serves as a cornerstone for governments to discern trends, patterns …
Does the level of mobility on ICU discharge impact post-ICU outcomes? A retrospective analysis
R Haylett, J Grant, MA Williams… - Disability and …, 2024 - Taylor & Francis
Purpose Mobilisation is a common intervention in Intensive Care (ICU). However, few
studies have explored the relationship between mobility levels and outcomes. This study …
studies have explored the relationship between mobility levels and outcomes. This study …