Latest AI and machine learning research in intensivists for healthcare professionals.
Intelligent fault diagnosis aims to build robust mechanical condition recognition models with limite...
The purpose of this study is to identify additional clinical features for sepsis detection through t...
It is of great interest to develop and introduce new techniques to automatically and efficiently ana...
The CONSORT 2010 statement provides minimum guidelines for reporting randomized trials. Its widespre...
To evaluate the performance of machine learning (ML) models and to compare it with logistic regressi...
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by p...
Chronic obstructive pulmonary disease (COPD) concerns the serious decline of human lung functions. T...
BACKGROUND: Chest radiographs are routinely performed in intensive care unit (ICU) to confirm the co...
Machine learning method has become a popular, convenient and efficient computing tool applied to man...
BACKGROUND: Intensive Care Unit (ICU) readmissions represent both a health risk for patients,with in...
Due to the high occupational pressure suffered by intensive care units (ICUs), a correct estimation ...
Advances in instrumentation and technique have facilitated minimally invasive surgeries for cardiac ...
The cardiopulmonary exercise test (CPET) constitutes a gold standard for the assessment of an indivi...
BACKGROUND: While early mobilization is commonly implemented in intensive care unit treatment guidel...
With biotechnological advancements, innovative omics technologies are constantly emerging that have ...
Sepsis is a major public concern due to its high mortality, morbidity, and financial cost. There are...
Background Supine chest radiography for bedridden patients in intensive care units (ICUs) is one of ...
Chest CT is a useful initial exam in patients with coronavirus disease 2019 (COVID-19) for assessing...
Artificial intelligence (AI) technology has huge scope in developing models to predict the survival ...
BACKGROUND: Sepsis is a heterogeneous syndrome with high morbidity and mortality. Optimal and effect...
Establishing toxicological predictive modeling frameworks for heterogeneous nanomaterials is crucial...