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 778-798 of 3,776 articles
No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space

Conventional clinical CMR pipelines rely on a sequential "reconstruct-then-analyze" paradigm, forcin...

AI End-to-End Radiation Treatment Planning Under One Second

Artificial intelligence-based radiation therapy (RT) planning has the potential to reduce planning t...

K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging

Large-scale biomedical vision-language models (VLMs) adapted on high-end imaging (e.g., CT) often fa...

Yolo-Key-6D: Single Stage Monocular 6D Pose Estimation with Keypoint Enhancements

Estimating the 6D pose of objects from a single RGB image is a critical task for robotics and extend...

Modeling and Control of a Pneumatic Soft Robotic Catheter Using Neural Koopman Operators

Catheter-based interventions are widely used for the diagnosis and treatment of cardiac diseases. Re...

GEN-KnowRD: Reframing AI for Rare Disease Recognition

Rare diseases affect over 300 million people worldwide, yet patients often endure years-long diagnos...

iGS: A Zero-Code Dual-Engine Graphical Software for Polygenic Trait Prediction

Genomic selection (GS) has become the core driving force in modern plant and animal breeding. Howeve...

Retrieving Patient-Specific Radiomic Feature Sets for Transparent Knee MRI Assessment

Classical radiomic features are designed to quantify image appearance and intensity patterns. Compar...

Decomposing response inhibition: a POMDP model

Inhibition is a core cognitive control function whose competence is distributed across the populatio...

CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework

Large visual language models (VLMs) have shown strong multi-modal medical reasoning ability, but mos...

Shape-Interpretable Visual Self-Modeling Enables Geometry-Aware Continuum Robot Control

Continuum robots possess high flexibility and redundancy, making them well suited for safe interacti...

Differential privacy representation geometry for medical image analysis

Differential privacy (DP)'s effect in medical imaging is typically evaluated only through end-to-end...

UFO-DETR: Frequency-Guided End-to-End Detector for UAV Tiny Objects

Small target detection in UAV imagery faces significant challenges such as scale variations, dense d...

AeroDGS: Physically Consistent Dynamic Gaussian Splatting for Single-Sequence Aerial 4D Reconstruction

Recent advances in 4D scene reconstruction have significantly improved dynamic modeling across vario...

End-to-End PET/CT Interpretation and Quantification with an LLM-Orchestrated AI Agent: A Real-World Pilot Study

Background: Although deep learning models have improved individual PET analysis, image processing an...

Spa3R: Predictive Spatial Field Modeling for 3D Visual Reasoning

While Vision-Language Models (VLMs) exhibit exceptional 2D visual understanding, their ability to co...

An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models

Phenotyping is fundamental to rare disease diagnosis, but manual curation of structured phenotypes f...

GSNR: Graph Smooth Null-Space Representation for Inverse Problems

Inverse problems in imaging are ill-posed, leading to infinitely many solutions consistent with the ...

Learning Humanoid End-Effector Control for Open-Vocabulary Visual Loco-Manipulation

Visual loco-manipulation of arbitrary objects in the wild with humanoid robots requires accurate end...

Browse Categories