Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
AIM: To evaluate the impact of adding early processed quantitative EEG biomarkers to health record d...
BACKGROUND: The increasing global prevalence of pediatric myopia has led to the widespread use of at...
Physiotherapy has long resisted the forces that restructured manufacturing, journalism, and finance....
OBJECTIVE: This study aimed to identify the factors contributing to Prolonged Length of Stay (PLOS) ...
Delirium occurs frequently in emergency departments and is associated with poor outcomes and increas...
RATIONALE & OBJECTIVE: Severe hypokalemia requires prompt management and close surveillance. Althoug...
BACKGROUND: Despite the effectiveness of lifestyle multidisciplinary (LMD) weight loss interventions...
Diagnostic errors are a substantial source of patient harm. As artificial intelligence (AI) integrat...
INTRODUCTION: Identify knowledge gaps in applying artificial intelligence in clinical settings, usin...
OBJECTIVE: To examine how algorithmic fairness is measured, operationalized, and reported in machine...
OBJECTIVE: To develop and validate machine learning-based diagnostic models for IPA using data avail...
OBJECTIVE: To predict self-care and mobility function at discharge from inpatient rehabilitation for...
Artificial intelligence (AI) is rapidly being integrated across the landscape of graduate medical ed...
Klebsiella pneumoniae (KP) has emerged as a formidable nosocomial pathogen in the era of antimicrobi...
Background: Light-intensity physical activity (LPA) constitutes a substantial portion of daily activ...
BACKGROUND: Pressure injuries remain a major complication among stroke and other mobility-impaired p...
Vertebral compression fractures (VCFs) represent the most prevalent osteoporotic fracture and consti...
BACKGROUND: Digital health technologies are transforming healthcare. There is limited research descr...
BACKGROUND: The emergency intensive care unit (EICU) manages the most critically ill patients, where...
OBJECTIVES: Inappropriate and broad-spectrum antibiotic use contributes to antimicrobial resistance ...
Multidisciplinary genomic evaluation is increasingly recognized for its diagnostic and therapeutic i...