Latest AI and machine learning research in transplantation for healthcare professionals.
Hepatocellular carcinoma (HCC) is among the most common cancers worldwide, and tumor recurrence foll...
INTRODUCTION: Reconstruction of fossa navicularis stricture (FNS) poses a challenge in providing acc...
Microbial degradation is a cost-effective and environmentally friendly method for removing microcyst...
Infection with BK polyomavirus (BKPyV) is a common opportunistic infection after kidney transplantat...
BACKGROUND: Total Cardiac Volume (TCV) based size matching using Computed Tomography (CT) is a novel...
Cancer, as identified by the World Health Organization, stands as the second leading cause of death ...
BACKGROUND: Left ventricular assist device (LVAD) is considered either a destination therapy for pat...
A 40 cm length Bis(triethoxysilyl)ethane (BTESE) membrane having different pore sizes was successful...
Large language models (LLMs) such as GPT-3 and their derivative products such as ChatGPT have garner...
This study introduces a sophisticated computational pipeline, , designed for the discovery of antiv...
The International Classification of Diseases (ICD) serves as a global healthcare administration stan...
Autosomal recessive polycystic kidney disease (ARPKD) is often associated with hepatobiliary disease...
Liver cirrhosis remains a significant global public health concern, with liver transplantation stand...
The subcutaneous administration of therapeutic peptides would provide significant benefits to patien...
PURPOSE OF THE STUDY: The purpose of this study was to assess the association of measured glomerular...
Although robotic-assisted surgery has the advantages of low patient burden and high precision withou...
Congenital cholesteatoma accounts for 25% of cholesteatoma cases in children. Transcanal Endoscopic ...
Rehabilitation robots are used to promote structural and functional recovery of the nervous system w...
In a first-of-its-kind study, we assessed the capabilities of large language models (LLMs) in making...
Medical applications of machine learning (ML) have shown promise in analyzing patient data to suppor...