Latest AI and machine learning research in transplantation for healthcare professionals.
Fast and accurate organ-at-risk (OAR) and gross tumor volume (GTV) contour propagation methods are n...
BACKGROUND: The exact mechanism of graft dysfunction has not been fully clarified. We aimed to explo...
Graft polymers are promising in energy and biomedical applications. However, the diverse architectur...
[This corrects the article DOI: 10.1093/ckj/sfae019.].
INTRODUCTION: The integration of artificial intelligence (AI) into transplant surgery offers potenti...
Despite the rapid development of artificial intelligence (AI) agents, substantial individual differe...
This systematic review aimed to explore the current applications, potential benefits, and issues of ...
The integration of artificial intelligence (AI) into surgical practice demands critical reflection-n...
Bronchiolitis obliterans syndrome (BOS) is a severe pulmonary complication following allogeneic hema...
OBJECTIVES: Liver transplantation is a complex procedure frequently requiring transfusion of blood p...
BACKGROUND: Complications relating to delayed or deteriorating graft function following kidney trans...
Approximately 70% of breast cancer (BC) diagnoses are estrogen receptor positive (ER) with ā¼40% of E...
Artificial Intelligence (AI) offers a revolutionary approach to improve decision-making in medicine ...
Cell therapies like Chimeric Antigen Receptor (CAR)-T cell therapy deliver living cells to patients ...
BACKGROUND: The COVID-19 pandemic has been accompanied by an unprecedented infodemic characterized b...
Organic optoelectronic materials with localized or delocalized excitation features are widely used i...
Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen,...
Genome-wide association studies (GWAS) have established key role of immune dysfunction in Age-relate...
PURPOSE: Segmentation of target volumes and organs at risk on computed tomography (CT) images consti...
BACKGROUND: Epidemiological studies on idiopathic nephrotic syndrome (INS) in children have identifi...
We developed an interpretable graph neural network (96.4% accuracy) for AIEgen identification, revea...