Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
OBJECTIVES: After-discharge instructions often fail due to poor usability and language misalignment....
Mycoplasma pneumoniae (M. pneumoniae) is a primary pathogen responsible for community-acquired pneum...
BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represe...
OBJECTIVE: To analyze the relevant risk factors causing the reduction of periodontal ligament area (...
BACKGROUND: Stroke, a leading cause of global mortality and disability, requires accurate prediction...
BACKGROUND: Stroke is a leading cause of mortality and disability worldwide, creating a critical nee...
Despite remarkable advances in transplant pathology, molecular diagnostics, imaging, and biomarker d...
BACKGROUND: Patient-reported outcome measures and healthcare utilization metrics are increasingly us...
PURPOSE: Weaning from venovenous extracorporeal membrane oxygenation (V-V ECMO) remains unstandardiz...
BACKGROUND: Fast risk stratification is essential for patients with sepsis, a life-threatening condi...
This case-control study develops a machine-learning (ML)-based fall-risk-prediction model for milita...
OBJECTIVE: To develop and validate a machine learning model for predicting reduced exercise capacity...
Accurate estimation of State of Charge (SOC) and State of Health (SOH) is critical for safe and reli...
BACKGROUND: Patients with gallstone-related biliary disease may deteriorate rapidly before definitiv...
AIM: To develop and evaluate machine learning (ML) models for early cerebral palsy (CP) prediction a...
OBJECTIVES: Develop and validate subtype-specific, fairness-aware machine learning (ML) models that ...
BACKGROUND: Clinicians spend a substantial share of their working hours on documentation, contributi...
Low-dose CT (LDCT) lung cancer screening significantly reduces mortality but has dramatically increa...
INTRODUCTION: Polycystic ovary syndrome (PCOS) is a prevalent endocrine condition in reproductive-ag...
Machine learning models that predict hospital admission at triage may support patient flow forecasti...
BACKGROUND: Post-stroke cognitive impairment (PSCI) is common and disabling, but identifying patient...