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Care of terminally ill / Palliative care

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

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Showing 358-378 of 6,157 articles
End-to-End Residual Network for Light Field Reconstruction on Raw Images and View Image Stacks.

Light field (LF) technology has become a focus of great interest (due to its use in many application...

The effect of robotic rehabilitation on posture and trunk control in non-ambulatory cerebral palsy.

The purpose of this study was to investigate the effects of a combined robot-assisted gait training ...

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.

Artificial intelligence (AI) can extract visual information from histopathological slides and yield ...

Using deep transfer learning to detect scoliosis and spondylolisthesis from x-ray images.

Recent years have witnessed wider prevalence of vertebral column pathologies due to lifestyle change...

Collision Localization and Classification on the End-Effector of a Cable-Driven Manipulator Applied to EV Auto-Charging Based on DCNN-SVM.

With the increasing popularity of electric vehicles, cable-driven serial manipulators have been appl...

Pattern Recognition of EMG Signals by Machine Learning for the Control of a Manipulator Robot.

Human Machine Interfaces (HMI) principles are for the development of interfaces for assistance or su...

CyberLimb: a novel robotic prosthesis concept with shared and intuitive control.

BACKGROUND: Existing assistive technologies attempt to mimic biological functions through advanced m...

EMG-driven fatigue-based self-adapting admittance control of a hand rehabilitation robot.

Upper-limb rehabilitation therapy sessions for post-stroke people generally contain rhythmic hand mo...

IMU Motion Capture Method with Adaptive Tremor Attenuation in Teleoperation Robot System.

Teleoperation robot systems can help humans perform tasks in unstructured environments. However, non...

Fault Recognition Method Based on Attention Mechanism and the 3D-UNet.

Oil and gas reservoirs are of great significance for economic benefits. Faults act as important cond...

Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond.

Recent progress in machine learning (ML), together with advanced computational power, have provided ...

Robot-Assisted Radical Prostatectomy for Potential Cancer Control in Patients with Metastatic Prostate Cancer.

Recently, cytoreductive prostatectomy for metastatic prostate cancer (mPCa) has been associated with...

A gecko-inspired robot with CPG-based neural control for locomotion and body height adaptation.

Today's gecko-inspired robots have shown the ability of omnidirectional climbing on slopes with a lo...

A Tightly Coupled LiDAR-Inertial SLAM for Perceptually Degraded Scenes.

Realizing robust six degrees of freedom (6DOF) state estimation and high-performance simultaneous lo...

Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey.

Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving 5G and 6G net...

Answering medical questions in Chinese using automatically mined knowledge and deep neural networks: an end-to-end solution.

BACKGROUND: Medical information has rapidly increased on the internet and has become one of the main...

End-to-End Lip-Reading Open Cloud-Based Speech Architecture.

Deep learning technology has encouraged research on noise-robust automatic speech recognition (ASR)....

Multigraph classification using learnable integration network with application to gender fingerprinting.

Multigraphs with heterogeneous views present one of the most challenging obstacles to classification...

A Survey of End-to-End Driving: Architectures and Training Methods.

Autonomous driving is of great interest to industry and academia alike. The use of machine learning ...

CIPHER-SC: Disease-Gene Association Inference Using Graph Convolution on a Context-Aware Network With Single-Cell Data.

Inference of disease-gene associations helps unravel the pathogenesis of diseases and contributes to...

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