Care of terminally ill / Palliative care

DeepECA: an end-to-end learning framework for protein contact prediction from a multiple sequence alignment.

BACKGROUND: Recently developed methods of protein contact prediction, a crucially important step for...

A Multi-Task Framework for Facial Attributes Classification through End-to-End Face Parsing and Deep Convolutional Neural Networks.

Human face image analysis is an active research area within computer vision. In this paper we propos...

The Interaction Between Feedback Type and Learning in Routine Grasping With Myoelectric Prostheses.

While prosthetic fitting after upper-limb loss allows for restoration of motor functions, it deprive...

Design and Integration of a Parallel, Soft Robotic End-Effector for Extracorporeal Ultrasound.

OBJECTIVE: In this work we address limitations in state-of-the-art ultrasound robots by designing an...

Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture.

A deep learning classifier for detecting seizures in neonates is proposed. This architecture is desi...

A Deep Learning-Based End-to-End Composite System for Hand Detection and Gesture Recognition.

Recent research on hand detection and gesture recognition has attracted increasing interest due to i...

Effectiveness of Intervention Based on End-effector Gait Trainer in Older Patients With Stroke: A Systematic Review.

OBJECTIVE: The objective of the article is to analyze the effects of the end-effector technology for...

Methylglyoxal-derived advanced glycation end products induce matrix metalloproteinases through activation of ERK/JNK/NF-κB pathway in kidney proximal epithelial cells.

The accumulation of reactive α-dicarbonyl leading to advanced glycation end products (AGEs) have bee...

MedGAN: Medical image translation using GANs.

Image-to-image translation is considered a new frontier in the field of medical image analysis, with...

A general end-to-end diagnosis framework for manufacturing systems.

The manufacturing sector is envisioned to be heavily influenced by artificial-intelligence-based tec...

: The Impact of Obesity in Patients Undergoing Robotic Partial Nephrectomy by Rosen et al. (J Endourol 2019;33(6):431-437; DOI: 10.1089/end.2019.0018).

IoT-Enabled Dual-Arm Motion Capture and Mapping for Telerobotics in Home Care.

With the paradigm shift from hospital-centric healthcare to home-centric healthcare in Healthcare 4....

Adaptive fuzzy flow rate control considering multifractal traffic modeling and 5G communications.

In this paper, we propose a predictive Generalized OBF (Orthonormal Basis Functions)-Fuzzy flow cont...

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, ...

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 ...

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...

Changes of Cerebral Blood Volume During Robot-Assisted Laparoscopic Radical Prostatectomy: Observational Prospective Study Using Near-Infrared Time-Resolved Spectroscopy by Tanaka et al. (From: Tanaka N, Yamamoto M, Abe T, et al. J Endourol 2019;33:995-1001; DOI: 10.1089/end.2019.0217).

Fetal Congenital Heart Disease Echocardiogram Screening Based on DGACNN: Adversarial One-Class Classification Combined with Video Transfer Learning.

Fetal congenital heart disease (FHD) is a common and serious congenital malformation in children. In...

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...

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

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

CIGuide: in situ augmented reality laser guidance.

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