State Required CME

Care of terminally ill / Palliative care

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

6,157 articles
Stay Ahead - Weekly Care of terminally ill / Palliative care research updates
Subscribe
Browse Specialties
Showing 463-483 of 6,157 articles
Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation.

Donor-Recipient (D-R) matching is one of the main challenges to be fulfilled nowadays. Due to the in...

Force-Free Control for Direct Teaching of a Surgical Assistant Robot End Effector with Wire-Driven Bidirectional Telescopic Mechanism.

This paper shows the design and modeling of an end effector with a bidirectional telescopic mechanis...

Thoracic Point-of-Care Ultrasound: A SARS-CoV-2 Data Repository for Future Artificial Intelligence and Machine Learning.

Current experience suggests that artificial intelligence (AI) and machine learning (ML) may be usefu...

Speech Vision: An End-to-End Deep Learning-Based Dysarthric Automatic Speech Recognition System.

Dysarthria is a disorder that affects an individual's speech intelligibility due to the paralysis of...

CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction.

Residue co-evolution has become the primary principle for estimating inter-residue distances of a pr...

Pharm-AutoML: An open-source, end-to-end automated machine learning package for clinical outcome prediction.

Although there is increased interest in utilizing machine learning (ML) to support drug development,...

ELVISort: encoding latent variables for instant sorting, an artificial intelligence-based end-to-end solution.

The growing number of recording sites of silicon-based probes means that an increasing amount of neu...

Development of a Planar Haptic Robot With Minimized Impedance.

Several studies have reported that stroke survivors displayed improved voluntary planar movements wh...

Deep neural network-based generalized sidelobe canceller for dual-channel far-field speech recognition.

The traditional generalized sidelobe canceller (GSC) is a common speech enhancement front end to imp...

End-to-end keyword search system based on attention mechanism and energy scorer for low resource languages.

Keyword search (KWS) means searching for keywords given by the user from continuous speech. Conventi...

ncRFP: A Novel end-to-end Method for Non-Coding RNAs Family Prediction Based on Deep Learning.

Evidence has accumulated enough to prove non-coding RNAs (ncRNAs) play important roles in cellular b...

Design and independent training of composable and reusable neural modules.

Monolithic neural networks and end-to-end training have become the dominating trend in the field of ...

An end-to-end-trainable iterative network architecture for accelerated radial multi-coil 2D cine MR image reconstruction.

PURPOSE: Iterative convolutional neural networks (CNNs) which resemble unrolled learned iterative sc...

From convolutional neural networks to models of higher-level cognition (and back again).

The remarkable successes of convolutional neural networks (CNNs) in modern computer vision are by no...

Imbalanced Loss-Integrated Deep-Learning-Based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear.

A rotator cuff tear (RCT) is an injury in adults that causes difficulty in moving, weakness, and pai...

Speaker recognition based on deep learning: An overview.

Speaker recognition is a task of identifying persons from their voices. Recently, deep learning has ...

Cycle consistent network for end-to-end style transfer TTS training.

In this paper, we propose a cycle consistent network based end-to-end TTS for speaking style transfe...

Uncorrelated feature encoding for faster image style transfer.

Recent image style transfer methods use a pre-trained convolutional neural network as their feature ...

Towards Robust Robot Control in Cartesian Space Using an Infrastructureless Head- and Eye-Gaze Interface.

This paper presents a lightweight, infrastructureless head-worn interface for robust and real-time r...

Should Peritoneal Re-Approximation Be Performed After Transperitoneal Robot-Assisted Radical Prostatectomy?

The aim of the study is to examine the effect of peritoneal re-approximation or non-approximation o...

Browse Specialties