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.

3,776 articles
Stay Ahead - Weekly Care of terminally ill / Palliative care research updates
Subscribe
Browse Categories
Showing 925-945 of 3,776 articles
Localization Meets Uncertainty: Uncertainty-Aware Multi-Modal Localization

Reliable localization is critical for robot navigation in complex indoor environments. In this pap...

Adaptive Vision-Guided Robotic Arm Control for Precision Pruning in Dynamic Orchard Environments

This study presents a vision-guided robotic control system for automated fruit tree pruning applic...

(2)
SIGMAN:Scaling 3D Human Gaussian Generation with Millions of Assets

3D human digitization has long been a highly pursued yet challenging task. Existing methods aim to...

The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data

Differentially Private (DP) generative marginal models are often used in the wild to release synth...

SVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering

Reconstructing 3D assets from images, known as inverse rendering (IR), remains a challenging task ...

(2)
End2end-ALARA: Approaching the ALARA Law in CT Imaging with End-to-end Learning

Computed tomography (CT) examination poses radiation injury to patient. A consensus performing CT ...

RAMBO: RL-augmented Model-based Optimal Control for Whole-body Loco-manipulation

Loco-manipulation -- coordinated locomotion and physical interaction with objects -- remains a maj...

OmniSVG: A Unified Scalable Vector Graphics Generation Model

Scalable Vector Graphics (SVG) is an important image format widely adopted in graphic design becau...

FEABench: Evaluating Language Models on Multiphysics Reasoning Ability

Building precise simulations of the real world and invoking numerical solvers to answer quantitati...

(2)
PainNet: Statistical Relation Network with Episode-Based Training for Pain Estimation

Despite the span in estimating pain from facial expressions, limited works have focused on estimat...

End-to-End Dialog Neural Coreference Resolution: Balancing Efficiency and Accuracy in Large-Scale Systems

Large-scale coreference resolution presents a significant challenge in natural language processing...

A Benchmark for End-to-End Zero-Shot Biomedical Relation Extraction with LLMs: Experiments with OpenAI Models

Objective: Zero-shot methodology promises to cut down on costs of dataset annotation and domain ex...

(2)
Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image

We propose an end-to-end trainable, cross-category method for reconstructing multiple man-made art...

(1)
Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks

Accurate and real-time three-dimensional (3D) pose estimation is challenging in resource-constrain...

(3)
HALO: Human-Aligned End-to-end Image Retargeting with Layered Transformations

Image retargeting aims to change the aspect-ratio of an image while maintaining its content and st...

Automated Survey Collection with LLM-based Conversational Agents

Objective: Traditional phone-based surveys are among the most accessible and widely used methods t...

End-to-End Driving with Online Trajectory Evaluation via BEV World Model

End-to-end autonomous driving has achieved remarkable progress by integrating perception, predicti...

(1)
8-DoFs Cable Driven Parallel Robots for Bimanual Teleportation

Teleoperation plays a critical role in intuitive robot control and imitation learning, particularl...

(1)
xML-workFlow: an end-to-end explainable scikit-learn workflow for rapid biomedical experimentation

Motivation: Building and iterating machine learning models is often a resource-intensive process. ...

(1)
Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networks

In the Edge Inference (EI) paradigm, where a Deep Neural Network (DNN) is split across the transce...

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy

Reasoning before action and imagining potential outcomes (i.e., world models) are essential for em...

Browse Categories