Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
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...
Monotherapy with antiepileptic drugs (AEDs) is the preferred strategy for the initial treatment of e...
INTRODUCTION: Prolonged length of stay (LOS) following revision total hip arthroplasty (THA) can lea...
Maritime operations face significant challenges in environmental stewardship, particularly in managi...
Recent advancements in computing have led to the development of artificial intelligence (AI) enabled...
Gastrointestinal endoscopic image analysis presents significant challenges, such as considerable var...
Alzheimer's disease (AD) patients admitted to intensive care units (ICUs) exhibit varying survival o...
OBJECTIVE: To develop and validate a predictive model utilizing machine-learning techniques for esti...
There is no shortage of literature surrounding ChatGPT and whether this large language model can pro...
This study investigated whether machine learning (ML) has better predictive accuracy than logistic r...
Real-world data (RWD) in the medical field, such as electronic health records (EHRs) and medication ...
Candidemia often poses a diagnostic challenge due to the lack of specific clinical features, and del...
BackgroundTo develop and validate a mortality prediction model for patients with sepsis-associated A...
BACKGROUND: Every hospital manager aims to build harmonious, mutually beneficial, and steady-state d...
BACKGROUND/OBJECTIVES: Pancreatic cyst management can be distilled into three separate pathways - di...
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...
BACKGROUND: Medical text, as part of an electronic health record, is an essential information source...
The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-a...
BACKGROUND: Diagnostic errors are an underappreciated cause of preventable mortality in hospitals an...