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.

6,166 articles
Stay Ahead - Weekly Care of terminally ill / Palliative care research updates
Subscribe
Browse Specialties
Showing 631-651 of 6,166 articles
Improved model adaptation approach for recognition of reduced-frame-rate continuous speech.

In distributed speech recognition applications, the front-end device that stands for any handheld el...

Will machine learning end the viability of radiology as a thriving medical specialty?

There have been tremendous advances in artificial intelligence (AI) and machine learning (ML) within...

High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder.

In this work, we propose a novel model-based deep convolutional autoencoder that addresses the highl...

End-to-End syndrome differentiation of Yin deficiency and Yang deficiency in traditional Chinese medicine.

BACKGROUND AND OBJECTIVE: Yin and Yang, two concepts adapted from classical Chinese philosophy, play...

Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks.

This paper proposes deep learning methods with signal alignment that facilitate the end-to-end class...

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA.

One of the methods for stratifying different molecular classes of breast cancer is the Nottingham pr...

RASPELD to Perform High-End Screening in an Academic Environment toward the Development of Cancer Therapeutics.

The identification of compounds for dissecting biological functions and the development of novel dru...

GPU-DAEMON: GPU algorithm design, data management & optimization template for array based big omics data.

In the age of ever increasing data, faster and more efficient data processing algorithms are needed....

Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning.

We propose a reinforcement learning approach for real-time exposure control of a mobile camera that ...

End-to-End Representation Learning for Chemical-Chemical Interaction Prediction.

Chemical-chemical interaction (CCI) plays a major role in predicting candidate drugs, toxicities, th...

Neural network-based model predictive control for type 1 diabetic rats on artificial pancreas system.

Artificial pancreas system (APS) is a viable option to treat diabetic patients. Researchers, however...

An End-to-End System for Automatic Urinary Particle Recognition with Convolutional Neural Network.

The urine sediment analysis of particles in microscopic images can assist physicians in evaluating p...

Adverse Outcomes due to Aggressive Fluid Resuscitation in Children: A Prospective Observational Study.

Fluid management has a major impact on the duration, severity, and outcome of critically ill childre...

RACE-Net: A Recurrent Neural Network for Biomedical Image Segmentation.

The level set based deformable models (LDM) are commonly used for medical image segmentation. Howeve...

An end to end Deep Neural Network for iris segmentation in unconstrained scenarios.

With the increasing imaging and processing capabilities of today's mobile devices, user authenticati...

Prediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materials.

To know the impact of processing parameters of PA6G under different humidity conditions is important...

Test-retest reliability of the KINARM end-point robot for assessment of sensory, motor and neurocognitive function in young adult athletes.

BACKGROUND: Current assessment tools for sport-related concussion are limited by a reliance on subje...

T-wave end detection using neural networks and Support Vector Machines.

BACKGROUND AND OBJECTIVE: In this paper we propose a new approach for detecting the end of the T-wav...

Human arm joints reconstruction algorithm in rehabilitation therapies assisted by end-effector robotic devices.

BACKGROUND: End-effector robots are commonly used in robot-assisted neuro-rehabilitation therapies f...

Browse Specialties