Transplantation

Latest AI and machine learning research in transplantation for healthcare professionals.

10,050 articles

Subcategories: Heart Transplantation Kidney Transplantation Liver Transplantation Transplantation

Showing 1912-1932 of 10,050 articles

A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction.

This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early det...

Apr 2019 30976081

Generating automated kidney transplant biopsy reports combining molecular measurements with ensembles of machine learning classifiers.

We previously reported a system for assessing rejection in kidney transplant biopsies using microarr...

Apr 2019 30868758

Identifying Factors That Affect Patient Survival After Orthotopic Liver Transplant Using Machine-Learning Techniques.

OBJECTIVES: Survival after liver transplant depends on pretransplant, peritransplant, and posttransp...

Apr 2019 30968757

Building the drug-GO function network to screen significant candidate drugs for myasthenia gravis.

Myasthenia gravis (MG) is an autoimmune disease. In recent years, considerable evidence has indicate...

Apr 2019 30947317

Smeared multiscale finite element model for electrophysiology and ionic transport in biological tissue.

Basic functions of living organisms are governed by the nervous system through bidirectional signals...

Mar 2019 31015049

A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides.

Pathologic diagnoses mainly depend on visual scoring by pathologists, a process that can be time-con...

Mar 2019 30914690

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.

Accurate segmentation of the prostate and organs at risk (e.g., bladder and rectum) in CT images is ...

Mar 2019 30928830

3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture.

The treatment planning process for patients with head and neck (H&N) cancer is regarded as one of th...

Mar 2019 30703760

Metabolomics Analysis in Acute Paraquat Poisoning Patients Based on UPLC-Q-TOF-MS and Machine Learning Approach.

Most paraquat (PQ) poisoned patients died from acute multiple organ failure (MOF) such as lung, kidn...

Mar 2019 30807114

Simultaneous spatiotemporal tracking and oxygen sensing of transient implants in vivo using hot-spot MRI and machine learning.

A varying oxygen environment is known to affect cellular function in disease as well as activity of ...

Feb 2019 30808810

ELM-MHC: An Improved MHC Identification Method with Extreme Learning Machine Algorithm.

The major histocompatibility complex (MHC) is a term for all gene groups of a major histocompatibili...

Feb 2019 30698979

OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions.

Deep networks have set the state-of-the-art in most image analysis tasks by replacing handcrafted fe...

Feb 2019 30807894

An integrated molecular diagnostic report for heart transplant biopsies using an ensemble of diagnostic algorithms.

BACKGROUND: We previously reported a microarray-based diagnostic system for heart transplant endomyo...

Feb 2019 30795962

Prediction of mortality following pediatric heart transplant using machine learning algorithms.

BACKGROUND: Optimizing transplant candidates' priority for donor organs depends on the accurate asse...

Jan 2019 30697906

Disturbance and uncertainty rejection performance for fractional-order complex dynamical networks.

This paper investigates the synchronization issue for a family of time-delayed fractional-order comp...

Jan 2019 30753964

Cellular cartography of the organ of Corti based on optical tissue clearing and machine learning.

The highly organized spatial arrangement of sensory hair cells in the organ of Corti is essential fo...

Jan 2019 30657453

Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis.

STUDY OBJECTIVE: The Third International Consensus Definitions (Sepsis-3) Task Force recommended the...

Jan 2019 30661855

Spinal cord detection in planning CT for radiotherapy through adaptive template matching, IMSLIC and convolutional neural networks.

BACKGROUND AND OBJECTIVE: The spinal cord is a very important organ that must be protected in treatm...

Jan 2019 30712604