Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: Conversion of sleeve gastrectomy to Roux-en-Y gastric bypass is indicated primarily for ...
Rituximab is frequently used off-label for the treatment of frequent-relapsing/steroid-dependent ne...
PURPOSE: This study aimed to evaluate the utility of large language model (LLM) artificial intellige...
INTRODUCTION: Medullary thyroid carcinoma (MTC) is a rare thyroid malignancy originating from parafo...
BACKGROUND: Recently, crowding in emergency departments (EDs) has become a recognised critical facto...
ObjectiveMany caregivers of children with cleft lip and palate experience a high level of anxiety th...
Factors affecting the efficiency of walking independence in patients with subacute stroke following ...
Patients with type 2 diabetes mellitus (T2DM) are at higher risk for urinary tract infections (UTIs)...
INTRODUCTION: Even with modern advancements in medical care, one of the persistent challenges hospit...
To assess the overall experience of a patient in a hospital, many factors must be analyzed; nonethel...
INTRODUCTION: Advances in machine learning (ML) methodologies, combined with multidisciplinary colla...
BACKGROUND: Understanding the clinical course and pivotal time points of COVID-19 aggravation is cri...
Technological innovations, such as artificial intelligence (AI) and machine learning (ML), have the ...
As a serious blood infection disease, sepsis is characterized by a high mortality risk and many comp...
Given the critical and complex features of medical emergencies, it is essential to develop models th...
This study aimed to explore the correlation between serum creatinine and burn severity and the value...
INTRODUCTION: The Ministry of Health in Saudi Arabia provides comprehensive antenatal care for all p...
Background A significant disparity exists for American Indian and Alaska Native populations in acces...
BACKGROUND: Intraoperative hypotension is associated with increased perioperative complications, hos...
OBJECTIVE: Postoperative delirium (POD) is a common complication of cardiac surgery that is associat...
Measuring the daily use of an affected limb after hospital discharge is crucial for hemiparetic stro...