Transplantation

Caregiver perspectives on a smart home-based socially assistive robot for individuals with Alzheimer's disease and related dementia.

: Innovative assistive technology can address aging-in-place and caregiving needs of individuals with Alzheimer's disease and related dementia (ADRD). The purpose of this study was to beta-test a novel socially assistive robot (SAR) with a cohort of ADRD caregivers and gather their perspectives on its potential integration in the home context.: The SAR involved a programmable research robot linked...

Re: Andrea Gallioli, Angelo Territo, Romain Boissier, et al. Learning Curve in Robotic-assisted Kidney Transplantation: Results from the European Robotic Urological Society Working Group. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2019.12.008.

Reply to Jinna Yao, Henry C.C. Pleass, and Howard M.H. Lau's Letter to the Editor re: Andrea Gallioli, Angelo Territo, Romain Boissier, et al. Learning Curve in Robot-assisted Kidney Transplantation: Results from the European Robotic Urological Society Working Group. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2019.12.008.

Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network.

Segmentation of normal organs is a critical and time-consuming process in radiotherapy. Auto-segmentation of abdominal organs has been made possible b...

A method of rapid quantification of patient-specific organ doses for CT using deep-learning-based multi-organ segmentation and GPU-accelerated Monte Carlo dose computing.

PURPOSE: One technical barrier to patient-specific computed tomography (CT) dosimetry has been the lack of computational tools for the automatic patie...

A fast conformal predictive system with regularized extreme learning machine.

A conformal predictive system(CPS) is based on the learning framework of conformal prediction, which outputs cumulative distribution functions(CDFs) f...

Artificial intelligence and machine learning in nephropathology.

Artificial intelligence (AI) for the purpose of this review is an umbrella term for technologies emulating a nephropathologist's ability to extract in...

Improving accuracy and robustness of deep convolutional neural network based thoracic OAR segmentation.

Deep convolutional neural network (DCNN) has shown great success in various medical image segmentation tasks, including organ-at-risk (OAR) segmentati...

Extracting Structured Genotype Information from Free-Text HLA Reports Using a Rule-Based Approach.

BACKGROUND: Human leukocyte antigen (HLA) typing is important for transplant patients to prevent a severe mismatch reaction, and the result can also s...

Automated detection algorithm for C4d immunostaining showed comparable diagnostic performance to pathologists in renal allograft biopsy.

A deep learning-based image analysis could improve diagnostic accuracy and efficiency in pathology work. Recently, we proposed a deep learning-based d...

Development of realistic multi-contrast textured XCAT (MT-XCAT) phantoms using a dual-discriminator conditional-generative adversarial network (D-CGAN).

Develop a machine learning-based method to generate multi-contrast anatomical textures in the 4D extended cardiac-torso (XCAT) phantom for more realis...

Laser-Induced Graphene for Electrothermally Controlled, Mechanically Guided, 3D Assembly and Human-Soft Actuators Interaction.

Mechanically guided, 3D assembly has attracted broad interests, owing to its compatibility with planar fabrication techniques and applicability to a d...

A Noninvasive Glucose Monitoring SoC Based on Single Wavelength Photoplethysmography.

Conventional glucose monitoring methods for the growing numbers of diabetic patients around the world are invasive, painful, costly and, time-consumin...

Applying Machine Learning in Liver Disease and Transplantation: A Comprehensive Review.

Machine learning (ML) utilizes artificial intelligence to generate predictive models efficiently and more effectively than conventional methods throug...

genoDraw: A Web Tool for Developing Pedigree Diagrams Using the Standardized Human Pedigree Nomenclature Integrated with Biomedical Vocabularies.

The integration of genetic information in current clinical routine has raised a need for tools to exploit family genetic knowledge. On the clinical si...

Future development of artificial organs related with cutting edge emerging technology and their regulatory assessment: PMDA's perspective.

Future development of innovative artificial organs is closely related with cutting edge emerging technology. These technologies include brain machine ...

CFD based parameter tuning for motion control of robotic fish.

After millions of years of evolution, fishes have been endowed with agile swimming ability to accomplish various behaviourally relevant tasks. In comp...

Block Level Skip Connections Across Cascaded V-Net for Multi-Organ Segmentation.

Multi-organ segmentation is a challenging task due to the label imbalance and structural differences between different organs. In this work, we propos...

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy.

We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing,...

Multi-task learning for the segmentation of organs at risk with label dependence.

Automatic segmentation of organs at risk is crucial to aid diagnoses and remains a challenging task in medical image analysis domain. To perform the s...