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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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GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease

Deep learning methods based on Convolutional Neural Networks (CNNs) have shown great potential to ...

Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis

Cephalometric analysis is essential for the diagnosis and treatment planning of orthodontics. In l...

PATCHEDSERVE: A Patch Management Framework for SLO-Optimized Hybrid Resolution Diffusion Serving

The Text-to-Image (T2I) diffusion model is one of the most popular models in the world. However, s...

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction

The accelerated MRI reconstruction poses a challenging ill-posed inverse problem due to the signif...

3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding

Multi-modal Large Language Models (MLLMs) exhibit impressive capabilities in 2D tasks, yet encount...

Text-to-Edit: Controllable End-to-End Video Ad Creation via Multimodal LLMs

The exponential growth of short-video content has ignited a surge in the necessity for efficient, ...

End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT

Objective: There exist several X-ray computed tomography (CT) scanning strategies to reduce a radi...

Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation

Motion-controllable image animation is a fundamental task with a wide range of potential applicati...

A Trust-Guided Approach to MR Image Reconstruction with Side Information

Reducing MRI scan times can improve patient care and lower healthcare costs. Many acceleration met...

LDMapNet-U: An End-to-End System for City-Scale Lane-Level Map Updating

An up-to-date city-scale lane-level map is an indispensable infrastructure and a key enabling tech...

GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation

Medical imaging is crucial for diagnosing, monitoring, and treating medical conditions. The medica...

Attribute-Based Robotic Grasping with Data-Efficient Adaptation

Robotic grasping is one of the most fundamental robotic manipulation tasks and has been the subjec...

UAV-DETR: Efficient End-to-End Object Detection for Unmanned Aerial Vehicle Imagery

Unmanned aerial vehicle object detection (UAV-OD) has been widely used in various scenarios. Howev...

Single-and double-strand circulating DNA fragmentomics for enhanced cancer detection performance

In early detection of cancer, the use of circulating cell-free DNA (cirDNA) obtained from blood samp...

BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML

Large language model (LLM) agents hold promise for accelerating biomedical research and development ...

PyCLM: programming-free, closed-loop microscopy for real-time measurement, segmentation, and optogenetic stimulation

In cell biology, optical techniques are increasingly used to measure cells’ internal states (biosens...

JAX Animal Behavior System (JABS): A genetics informed, end-to-end advanced behavioral phenotyping platform for the laboratory mouse

Automated detection of complex animal behavior remains a challenge in neuroscience. Developments in ...

Frequency-Aware Interpretable Deep Learning Framework for Alzheimer’s Disease Classification Using rs-fMRI

Gaining insight into the spectral and temporal alterations in brain connectivity associated with Alz...

Pathologist-interpretable breast cancer subtyping and stratification from AI-inferred nuclear features

Artificial intelligence (AI) is making notable advances in digital pathology but faces challenges in...

RawBench: A Comprehensive Benchmarking Framework for Raw Nanopore Signal Analysis Techniques

Nanopore sequencing technologies continue to advance rapidly, offering critical benefits such as rea...

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