Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
OBJECTIVE: Breast cancer prognosis depends on early detection. We developed and externally validated...
AIMS: To evaluate the acceptability and feasibility among nurses of Decubitus Risk Prediction Alerts...
BACKGROUND: This study tests the hypothesis that postoperative undertriage of high-acuity patients t...
INTRODUCTION: Artificial Intelligence (AI) is increasingly recognized as a transformative force in h...
Sepsis is a major global health crisis where early recognition and effective management remain signi...
The transition from laparoscopic to robotic surgery for left-sided colorectal cancer raises safety c...
BACKGROUND: Elderly acute pancreatitis (AP) patients face significantly higher in-hospital all-cause...
BACKGROUND: Precancerous gastric lesions (PLGC) are a critical stage in gastric cancer progression, ...
Staphylococcus aureus is a leading cause of nosocomial infections, including sepsis, bacteraemia, pn...
BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially li...
Complex pelvic fractures are infamously challenging to fix surgically because of their fine anatomy ...
BACKGROUND: Elective surgical admissions form a growing share of demand for ICU beds, a constrained ...
OBJECTIVE: In this paper, we propose an adaptive federated learning framework to learn optimal treat...
OBJECTIVES: Retinopathy of prematurity (ROP) is a leading cause of blindness in children worldwide, ...
Myelosuppression is a common secondary manifestation of sepsis and is associated with increased morb...
Right ventricular (RV) strain is an important factor in evaluating RV function. This study aimed to ...
INTRODUCTION: Interventional oncology (IO) is a key component of multidisciplinary cancer care, deli...
BACKGROUND AND AIMS: Malaria is a deadly disease spread through the bite of an infected female Anoph...
BACKGROUND: Rapid global aging has led to an increasing demand for long-term care services for the e...
OBJECTIVE: The computed tomography-severity score (CT-SS) quantifies the severity of pulmonary invol...
OBJECTIVE: To identify prognostic factors for unilateral idiopathic sudden sensorineural hearing los...