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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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Accelerated Biological Aging in Exfoliation Glaucoma Assessed by Fundus-Derived Predicted Age and Advanced Glycation End Products.

Glaucoma is an age-related neurodegenerative disease characterized by progressive optic nerve damage...

May 2025 40429867
End-to-end Chinese clinical event extraction based on large language model.

Clinical event extraction is crucial for structuring medical data, supporting clinical decision-maki...

May 2025 40374675
Differentiable NMS via Sinkhorn Matching for End-to-End Fabric Defect Detection

Fabric defect detection confronts two fundamental challenges. First, conventional non-maximum supp...

FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation

Humanoid loco-manipulation holds transformative potential for daily service and industrial tasks, ...

M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark

We introduce M$^3$CAD, a novel benchmark designed to advance research in generic cooperative auton...

Multi-Objective Reinforcement Learning for Adaptive Personalized Autonomous Driving

Human drivers exhibit individual preferences regarding driving style. Adapting autonomous vehicles...

DOTA: Deformable Optimized Transformer Architecture for End-to-End Text Recognition with Retrieval-Augmented Generation

Text recognition in natural images remains a challenging yet essential task, with broad applicatio...

Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models

Active stress models in cardiac biomechanics account for the mechanical deformation caused by musc...

LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstruction

Lensless imaging stands out as a promising alternative to conventional lens-based systems, particu...

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 ma...

Assessing the impact of the TB response in Taiwan - the journey towards ending TB.

The incidence of TB in Taiwan declined by 62% from 2005 to 2023 (i.e., from 73/100,000 to 28/100,000...

May 2025 40365028
Modeling and Performance Analysis for Semantic Communications Based on Empirical Results

Due to the black-box characteristics of deep learning based semantic encoders and decoders, findin...

ABO: Abandon Bayer Filter for Adaptive Edge Offloading in Responsive Augmented Reality

Bayer-patterned color filter array (CFA) has been the go-to solution for color image sensors. In a...

Physics-Informed Diffusion Models for SAR Ship Wake Generation from Text Prompts

Detecting ship presence via wake signatures in SAR imagery is attracting considerable research int...

Transforming Evidence Synthesis: A Systematic Review of the Evolution of Automated Meta-Analysis in the Age of AI

Exponential growth in scientific literature has heightened the demand for efficient evidence-based...

Augmenting Perceptual Super-Resolution via Image Quality Predictors

Super-resolution (SR), a classical inverse problem in computer vision, is inherently ill-posed, in...

Unify3D: An Augmented Holistic End-to-end Monocular 3D Human Reconstruction via Anatomy Shaping and Twins Negotiating

Monocular 3D clothed human reconstruction aims to create a complete 3D avatar from a single image....

TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation

Soccer is a globally popular sporting event, typically characterized by long matches and distincti...

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model

This paper presents the technical solution proposed by Huawei Translation Service Center (HW-TSC) ...

$π_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

In order for robots to be useful, they must perform practically relevant tasks in the real world, ...

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