Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
COVID-19 clinical presentation and prognosis are highly variable, ranging from asymptomatic and pauc...
INTRODUCTION: Despite advances, readmission and mortality rates for surgical patients with colon can...
Robot-assisted donor nephrectomy (RDN) is increasingly used due to its advantages such as its precis...
The deep inferior epigastric perforator (DIEP) flap is the workhorse in microvascular breast reconst...
The objective of this study was to evaluate the safety and feasibility of Tc-based prostate-specific...
Skeletal muscle area (SMA), representing skeletal muscle cross-sectional area at the L3 vertebral l...
INTRODUCTION: This paper presents a mixed-methods study protocol that will be used to evaluate a rec...
This paper proposes a representation learning framework HE-LSTM model for heterogeneous temporal eve...
The adoption of best practices has been shown to increase performance in healthcare institutions and...
Digital pathology - the digitalisation of clinical histopathology services through the scanning and ...
Patient similarity learning has attracted great research interest in biomedical informatics. Correct...
BACKGROUND: Nerve discharge is the carrier of information transmission, which can reveal the basic r...
Heart rate variability (HRV) is a mean to evaluate cardiac effects of autonomic nervous system activ...
The growing demand for head magnetic resonance imaging (MRI) examinations, along with a global short...
Generative pretrained transformer models have been popular recently due to their enhanced capabiliti...
BACKGROUND: There are a host of emergent technologies with the potential to improve hospital care in...
The increased use of electronic health records (EHRs) has improved the availability of routine care ...
Robot-assisted simple prostatectomy (RASP) and endoscopic enucleation of the prostate (EEP) are two...
Gait rehabilitation is a critical factor in functional recovery after a stroke. The aim of this prag...
Predictive analytic models leveraging machine learning methods increasingly have become vital to hea...
Accurate segmentation of kidney in ultrasound images is a vital procedure in clinical diagnosis and ...