Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Postoperative ileus (POI) is the leading cause of prolonged hospital stay after abdominal surgery an...
To explore the learning curve of robot-assisted laparoscopic pyeloplasty (RALP) in children. The cli...
With the rise in vehicle ownership, traffic congestion has emerged as a major barrier to urban progr...
Flow cytometry is a key clinical tool in the diagnosis of many hematologic malignancies and traditio...
The reliable classification of motor unit action potentials (MUAPs) provides the possibility of trac...
PURPOSE: Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) are cond...
The influence of Medicaid or being uninsured is prevailingly thought to negatively impact a patient'...
To compare the learning curve of mediastinal mass resection between robot-assisted surgery and thora...
BACKGROUND/AIM: Efficient discharge for stroke patients is crucial but challenging. The study aimed ...
BACKGROUND: To develop machine learning (ML) models predicting unplanned readmission and reoperation...
Artificial intelligence- (AI) and machine learning (ML)-based applications are becoming increasingly...
AIM: This study aims to utilize machine learning (ML) and logistic regression (LR) models to predict...
Dam (reservoir)-induced alterations of flow and water temperature regimes can threaten downstream fi...
This study was undertaken to observe the effect of body mass index (BMI) on perioperative outcomes a...
BACKGROUND: Malnutrition is associated with increased morbidity, mortality, and healthcare costs. Ea...
Validation metrics are key for tracking scientific progress and bridging the current chasm between a...
Epidemiological data on the prevalence of acute kidney injury (AKI) in acute coronary syndrome are s...
Minimally invasive abdominal sacrocolpopexy (SC) is the treatment of choice for symptomatic, high-gr...
This study addresses the challenges associated with emergency department (ED) overcrowding and empha...
Over the past 3 decades, the diversity of ethnic, religious, and political backgrounds worldwide, pa...
OBJECTIVES: Generative language models (LMs) are being evaluated in a variety of tasks in healthcare...