Latest AI and machine learning research in transplantation for healthcare professionals.
A deep learning-based image analysis could improve diagnostic accuracy and efficiency in pathology w...
Develop a machine learning-based method to generate multi-contrast anatomical textures in the 4D ext...
Mechanically guided, 3D assembly has attracted broad interests, owing to its compatibility with plan...
Conventional glucose monitoring methods for the growing numbers of diabetic patients around the worl...
Machine learning (ML) utilizes artificial intelligence to generate predictive models efficiently and...
The integration of genetic information in current clinical routine has raised a need for tools to ex...
Future development of innovative artificial organs is closely related with cutting edge emerging tec...
After millions of years of evolution, fishes have been endowed with agile swimming ability to accomp...
Multi-organ segmentation is a challenging task due to the label imbalance and structural differences...
We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefac...
Automatic segmentation of organs at risk is crucial to aid diagnoses and remains a challenging task ...
The drugs we use to cure our diseases can cause damage to the liver as it is the primary organ respo...
OBJECTIVE: To construct and internally validate prediction models to estimate the risk of long-term ...
BACKGROUND: Previous scoring models such as the Acute Physiologic Assessment and Chronic Health Eval...
This paper presents an adaptable dictionary-based feature extraction approach for spike sorting offe...
Organ chips can recapitulate organ-level (patho)physiology, yet pharmacokinetic and pharmacodynamic ...
Limited physical access to target organs of patients inside an MRI scanner is a major obstruction to...
causes life-threatening systemic infections in immunosuppressed patients. These infections are comm...
Exposure of lung tissues to cigarette smoke is a major cause of human disease and death worldwide. U...
Prediction models of post-liver transplant mortality are crucial so that donor organs are not alloca...
Deep ultrasound localization microscopy (deep-ULM) allows sub-wavelength resolution imaging with dee...