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 22-42 of 6,157 articles
DeepLASD countermeasure for logical access audio spoofing.

Voice-based authentication systems have become increasingly vulnerable to logical access (LA) spoofi...

Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction.

Accurate traffic flow prediction is vital for intelligent transportation systems but presents signif...

HVAngleEst: A Dataset for End-to-end Automated Hallux Valgus Angle Measurement from X-Ray Images.

Accurate measurement of hallux valgus angle (HVA) and intermetatarsal angle (IMA) is essential for d...

End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures.

PURPOSE: Soft tissue pathologies and bone defects are not easily visible in intra-operative fluorosc...

DeepMS: super-fast peptide identification using end-to-end deep learning method.

Mass spectrometry (MS) has emerged as a powerful omics analysis technique, particularly in proteomic...

scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling.

BACKGROUND: Single-cell RNA sequencing (scRNA-Seq) technology reveals biological processes and molec...

ToPoMesh: accurate 3D surface reconstruction from CT volumetric data via topology modification.

Traditional computed tomography (CT) methods for 3D reconstruction face resolution limitations and r...

End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study.

OBJECTIVES: Pancreatic cancer treatment plans involving surgery and/or chemotherapy are highly depen...

Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells.

Deep learning-based methods for identifying and tracking cells within microscopy images have revolut...

RP-DETR: end-to-end rice pests detection using a transformer.

Pest infestations in rice crops greatly affect yield and quality, making early detection essential. ...

Dynamic Predictive Models of Cardiogenic Shock in STEMI: Focus on Interventional and Critical Care Phases.

: While early risk stratification in STEMI is essential, the threat of cardiogenic shock (CS) persis...

Screen shooting resistant watermarking based on cross attention.

With the development of digital imaging devices, the process of recording sensitive information disp...

SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices.

The proliferation of end devices has led to a distributed computing paradigm, wherein on-device mach...

End-to-End Architecture for Real-Time IoT Analytics and Predictive Maintenance Using Stream Processing and ML Pipelines.

The rapid proliferation of Internet of Things (IoT) devices across industries has created a need for...

Event driven neural network on a mixed signal neuromorphic processor for EEG based epileptic seizure detection.

Long-term monitoring of biomedical signals is essential for the modern clinical management of neurol...

A controller of robot constant force grinding based on proximal policy optimization algorithm.

In order to solve the problems of high dependence on the accuracy of environmental model and poor en...

Pattern recognition in crash clusters involving vehicles with advanced driving technologies.

Autonomous Vehicle (AV) technologies, including Advanced Driver Assistance Systems (ADAS) and Automa...

Interpretable unsupervised neural network structure for data clustering via differentiable reconstruction of ONMF and sparse autoencoder.

Neural networks, while powerful, often face significant challenges in terms of interpretability, par...

An end-to-end neural network for 4D cardiac CT reconstruction using single-beat scans.

Motion artifacts remain a significant challenge in cardiac CT imaging, often impairing the accurate ...

Artificial Intelligence: Applications in Pharmacovigilance Signal Management.

Pharmacovigilance is the science of collection, detection, and assessment of adverse events associat...

Tracking control of robotic manipulator end-effector trajectory based on robust sliding mode method.

This paper addresses the precise trajectory tracking of robotic manipulators (RMs) in automation tas...

Browse Specialties