Transplantation

A deep learning framework for personalised dynamic diagnosis of graft fibrosis after liver transplantation: a retrospective, single Canadian centre, longitudinal study.

BACKGROUND: Recurrent graft fibrosis after liver transplantation can threaten both graft and patient...

Will deep learning change outcomes in liver transplant?

TransOrGAN: An Artificial Intelligence Mapping of Rat Transcriptomic Profiles between Organs, Ages, and Sexes.

Animal studies are required for the evaluation of candidate drugs to ensure patient and volunteer sa...

CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides.

BACKGROUND: Cysteine-dense peptides (CDPs) are an attractive pharmaceutical scaffold that display ex...

Application of robotics in abdominal organ transplantation: A bibliometric analysis.

BACKGROUND: Robotic transplant surgery has garnered worldwide attention since 2002. Discussions on t...

Robust and efficient abdominal CT segmentation using shape constrained multi-scale attention network.

PURPOSE: Although many deep learning-based abdominal multi-organ segmentation networks have been pro...

A discontinuity-preserving regularization for deep learning-based cardiac image registration.

. Sliding motion may occur between organs in anatomical regions due to respiratory motion and heart ...

Machine Learning-Based Prognostic Model for Patients After Lung Transplantation.

IMPORTANCE: Although numerous prognostic factors have been found for patients after lung transplanta...

Differential diagnosis of secondary hypertension based on deep learning.

Secondary hypertension is associated with higher risks of target organ damage and cardiovascular and...

Head and neck reconstruction in the vessel depleted neck using robot-assisted harvesting of the internal mammary vessels.

We report a novel technique of robot-assisted harvesting of the internal mammary vessels to provide ...

Machine Learning Model for Assessment of Risk Factors and Postoperative Day for Superficial vs Deep/Organ-Space Surgical Site Infections.

Deep and organ space surgical site infections (SSI) require more intensive treatment, may result in...

Complex computation from developmental priors.

Machine learning (ML) models have long overlooked innateness: how strong pressures for survival lead...

Robotic percutaneous coronary intervention (R-PCI): Time to focus on the pros and cons.

AIM: To assess the safety, efficiency, and device compatibility of the Second Generation Robotic Sys...

Nonparametric failure time: Time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures.

Many popular survival models rely on restrictive parametric, or semiparametric, assumptions that cou...

A framework for prediction of personalized pediatric nuclear medical dosimetry based on machine learning and Monte Carlo techniques.

A methodology is introduced for the development of an internal dosimetry prediction toolkit for nucl...

Glomerulus Detection Using Segmentation Neural Networks.

Digital pathology is vital for the correct diagnosis of kidney before transplantation or kidney dise...

FRODO: An In-Depth Analysis of a System to Reject Outlier Samples From a Trained Neural Network.

An important limitation of state-of-the-art deep learning networks is that they do not recognize whe...

New Generation of 3D Virtual Models with Perfusional Zones: Perioperative Assistance for the Best Pedicle Management during Robotic Partial Nephrectomy.

Selective clamping during robot-assisted partial nephrectomy (RAPN) may reduce ischemia-related func...

Novel Port Placement in Robot-Assisted DIEP Flap Harvest Improves Visibility and Bilateral DIEP Access: Early Controlled Cohort Study.

SUMMARY: To minimize donor-site damage, robot-assisted (RA) deep inferior epigastric perforator (DIE...

The use of artificial intelligence to detect students' sentiments and emotions in gross anatomy reflections.

Students' reflective writings in gross anatomy provide a rich source of complex emotions experienced...

Deep Learning-Enabled Morphometric Analysis for Toxicity Screening Using Zebrafish Larvae.

Toxicology studies heavily rely on morphometric analysis to detect abnormalities and diagnose diseas...