Latest AI and machine learning research in hospitalists for healthcare professionals.
BACKGROUND: The timely identification and transfer of critically ill patients from the emergency dep...
OBJECTIVE: To explore the performance of deep learning-based segmentation of infarcted lesions in th...
IntroductionTraumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, w...
The integration of large language models (LLMs) in clinical medicine, particularly in critical care,...
Databases that link molecular data to clinical outcomes can inform precision cancer research into no...
Given the limited capacity to accurately determine the necessity for intubation in intensive care un...
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...
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 CONTEXT: Cervical disc arthroplasty (CDA) has become an increasingly popular alternative ...
BACKGROUND: Natural language processing (NLP) techniques can be used to analyze large amounts of ele...
The prevalence and predictors of mortality following an ischemic stroke or intracerebral hemorrhage ...
Recent advancements in computing have led to the development of artificial intelligence (AI) enabled...
BACKGROUND: Extracting principal diagnosis from patient discharge summaries is an essential task for...
Alzheimer's disease (AD) patients admitted to intensive care units (ICUs) exhibit varying survival o...
This study investigated whether machine learning (ML) has better predictive accuracy than logistic r...
BackgroundTo develop and validate a mortality prediction model for patients with sepsis-associated A...
Understanding the latent disease patterns embedded in electronic health records (EHRs) is crucial fo...
The first annual meeting of the Italian Society for Artificial Intelligence in Medicine (Società Ita...
This research addresses the critical issue of identifying factors contributing to admissions to acut...