Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Artificial intelligence (AI) is increasingly being used in health care. Without an ethically support...
Cardiogenic cerebral infarction (CCI) is a disease in which the blood supply to the blood vessels in...
BACKGROUND: Treatment management for opioid poisoning is critical and, at the same time, requires sp...
Proactive analysis of patient pathways helps healthcare providers anticipate treatment-related risks...
Sepsis-Associated Liver Injury (SALI) is an independent risk factor for death from sepsis. The aim o...
The increasing prevalence of overcrowding in Emergency Departments (EDs) threatens the effective del...
This study focused on comparing distributed learning models with centralized and local models, asses...
The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging c...
In recent years, the integration of technological advancements and digitalization into healthcare ha...
AIMS: Worsening heart failure (WHF) events occurring in non-inpatient settings are becoming increasi...
Natural language processing (NLP), a subset of artificial intelligence (AI), aims to decipher unst...
BACKGROUND: The Center for Medicare and Medicaid Services (CMS) imposes payment penalties for readmi...
This column on translating research into practice is crafted to offer advanced practice registered n...
BACKGROUND: Improved survival of patients after acute coronary syndromes, population growth, and ove...
BACKGROUND: ICU readmissions and post-discharge mortality pose significant challenges. Previous stud...
OBJECTIVE: To establish whether or not a natural language processing technique could identify two co...
Use of artificial intelligence (AI) is expanding exponentially as it pertains to workflow operations...
Foundation machine learning models are deep learning models capable of performing many different tas...
Poststroke injuries limit the daily activities of patients and cause considerable inconvenience. The...
OBJECTIVES: Differentiating intestinal tuberculosis (ITB) from Crohn's disease (CD) remains a diagno...
BACKGROUND: Clinical notes contain contextualized information beyond structured data related to pati...