Latest AI and machine learning research in transplantation for healthcare professionals.
. Automated detection of artefact in stimulus-evoked electroencephalographic (EEG) data recorded in ...
In the process of oxygen reduction, reactive oxygen species (ROS) are generated as intermediates, in...
As a significant infectious disease in livestock, porcine reproductive and respiratory syndrome (PRR...
Identification of neoantigens, derived from somatic DNA alterations, emerges as a promising strategy...
BACKGROUND: Diagnosis of kidney transplant rejection currently relies on manual histopathological as...
OBJECTIVE: Aortic root replacement requires construction of a composite valve-graft and reimplantati...
Cancer of unknown primary (CUP) is a rare type of metastatic cancer in which the origin of the tumor...
Physical eutectogels as a newly emerging type of conductive gel have gained extensive interest for t...
Particle (proton, carbon ion, or others) radiotherapy for ocular tumors is highly dependent on preci...
The intricate interaction between major histocompatibility complexes (MHCs) and antigen peptides wit...
Transarterial chemoembolization (TACE) represent the standard of therapy for non-operative hepatocel...
The quest to reduce kidney transplant rejection has emphasized the urgent requirement for the develo...
Detecting Out-of-Distribution (OOD) inputs is essential for reliable deep learning in the open world...
PURPOSE: This study aimed to predict early graft failure (GF) in patients who underwent Descemet mem...
Osteoporosis, in which bones become fragile owing to low bone density and impaired bone mass, is a g...
Generative artificial intelligence (AI), a subset of machine learning that creates new content based...
Organ segmentation has become a preliminary task for computer-aided intervention, diagnosis, radiati...
BACKGROUND: Liver ischemia-reperfusion injury (LIRI) is closely associated with immune infiltration,...
Electroencephalography signals are frequently used for various Brain-Computer interface (BCI) tasks....
To develop a robust segmentation model, encoding the underlying features/structures of the input dat...
Accurate segmentation of multiple organs in the head, neck, chest, and abdomen from medical images i...