Care of terminally ill / Palliative care

Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.

3,954 articles

Real-Time Extraction of Important Surgical Phases in Cataract Surgery Videos.

The present study aimed to conduct a real-time automatic analysis of two important surgical phases, ...

Nov 2019 31719589

Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network.

3D medical image registration is of great clinical importance. However, supervised learning methods ...

Nov 2019 31689224

Identification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method.

OBJECTIVES: This study designed and evaluated an end-to-end deep learning solution for cardiac segme...

Oct 2019 31607673

Evaluating the performance of a predictive modeling approach to identifying members at high-risk of hospitalization.

To evaluate the risk-of-hospitalization (ROH) models developed at Blue Cross Blue Shield of Louisia...

Sep 2019 31505982

EUSKOR: End-to-end coreference resolution system for Basque.

This paper describes the process of adapting the Stanford Coreference resolution module to the Basqu...

Sep 2019 31513627

CIGuide: in situ augmented reality laser guidance.

PURPOSE : A robotic intraoperative laser guidance system with hybrid optic-magnetic tracking for sku...

Sep 2019 31506882

Deep Learning to Improve Breast Cancer Detection on Screening Mammography.

The rapid development of deep learning, a family of machine learning techniques, has spurred much in...

Aug 2019 31467326

Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle.

Building spiking neural networks (SNNs) based on biological synaptic plasticities holds a promising ...

Jul 2019 31526952

Integrated Robotic Mini Bioreactor Platform for Automated, Parallel Microbial Cultivation With Online Data Handling and Process Control.

During process development, the experimental search space is defined by the number of experiments th...

Jul 2019 31288593

Time series classification with Echo Memory Networks.

Echo state networks (ESNs) are randomly connected recurrent neural networks (RNNs) that can be used ...

May 2019 31176962

Recognition of 3'-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning models.

The role of 3'-end stem-loops in retrotransposition was experimentally demonstrated for transposons ...

May 2019 31076573

Perceptions of drones, digital adherence monitoring technologies and educational videos for tuberculosis control in remote Madagascar: a mixed-method study protocol.

INTRODUCTION: Poor road and communication infrastructure pose major challenges to tuberculosis (TB) ...

May 2019 31076475

Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition.

Data augmentation is a widely used technique for enhancing the generalization ability of deep neural...

May 2019 31059443

Exploiting machine learning for end-to-end drug discovery and development.

A variety of machine learning methods such as naive Bayesian, support vector machines and more recen...

Apr 2019 31000803

End-to-End Differentiable Learning of Protein Structure.

Predicting protein structure from sequence is a central challenge of biochemistry. Co-evolution meth...

Apr 2019 31005579

TSE-CNN: A Two-Stage End-to-End CNN for Human Activity Recognition.

Human activity recognition has been widely used in healthcare applications such as elderly monitorin...

Apr 2019 30969934

Applications of an interaction, process, integration and intelligence (IPII) design approach for ergonomics solutions.

This paper first reviews current ergonomics design approaches in delivering digital solutions to ach...

Apr 2019 30836051

Upper limb robot-assisted rehabilitation versus physical therapy on subacute stroke patients: A follow-up study.

This study aims to analyse the long-term effects (6 months follow-up) of upper limb Robot-assisted T...

Apr 2019 31987544

DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem.

The purpose of this research was to implement a deep learning network to overcome two of the major b...

Mar 2019 30954852

Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection.

Automated cell detection and localization from microscopy images are significant tasks in biomedical...

Mar 2019 30908206

A novel end-to-end brain tumor segmentation method using improved fully convolutional networks.

Accurate brain magnetic resonance imaging (MRI) tumor segmentation continues to be an active researc...

Mar 2019 31005007

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