Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Given the limited capacity to accurately determine the necessity for intubation in intensive care un...
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) algorithms in radiology capable of detecting ...
UNLABELLED: an emerging fungal pathogen characterized by multidrug resistance and high-mortality no...
OBJECTIVES: The primary objective of this study was to identify clinical and socioeconomic predictor...
Sleep is a crucial aspect of geriatric assessment for hospitalized older adults, and implementing AI...
Several studies report the benefits and accuracy of using autosegmentation for organ at risk (OAR) o...
Construction of cascade reservoirs has altered nutrient dynamics and biogeochemical cycles, thereby ...
BACKGROUND: Intensive care units (ICUs) harbor the sickest patients with the utmost needs of medical...
BACKGROUND: Although transcatheter aortic valve replacement has emerged as an alternative to surgica...
Central venous access devices (CVADs) are integral to cancer treatment. However, catheter-related th...
BACKGROUND: Upper gastrointestinal bleeding (UGIB) is a significant cause of morbidity and mortality...
PURPOSE: Despite the increase in outpatient total knee arthroplasty (TKA) procedures, many patients ...
BACKGROUND: Management of anorectal cancers requires a multidisciplinary team approach. Recently, la...
BACKGROUND: Early identification of frail patients and early interventional treatment can minimize t...
BACKGROUND CONTEXT: Cervical disc arthroplasty (CDA) has become an increasingly popular alternative ...
In hospitals, the deterioration of a patient's condition leading to death is often preceded by physi...
OBJECTIVE: To create a novel comorbidity score tailored for surgical database research. BACKGROUND: ...
Multiple prognostic scores have been developed to predict morbidity and mortality in patients with s...
To predict preterm birth (PTB) in multiparous women, comparing machine learning approaches with trad...
The prevalence and predictors of mortality following an ischemic stroke or intracerebral hemorrhage ...
To investigate the application value of a machine learning model in predicting mild depression asso...