Geriatrics

Medicare

Latest AI and machine learning research in medicare for healthcare professionals.

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 673-693 of 2,946 articles
Look Before You Leap: Using Serialized State Machine for Language Conditioned Robotic Manipulation

Imitation learning frameworks for robotic manipulation have drawn attention in the recent developm...

CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance

We address the long-horizon mapless navigation problem: enabling robots to traverse novel environm...

Deep Learning-Based Diffusion MRI Tractography: Integrating Spatial and Anatomical Information

Diffusion MRI tractography technique enables non-invasive visualization of the white matter pathwa...

From Coverage to Prestige: A Comprehensive Assessment of Large-Scale Scientometric Data

As research in the Scientometric deepens, the impact of data quality on research outcomes has garn...

SPIDER: A Comprehensive Multi-Organ Supervised Pathology Dataset and Baseline Models

Advancing AI in computational pathology requires large, high-quality, and diverse datasets, yet ex...

RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery

Generating knowledge-intensive and comprehensive long texts, such as encyclopedia articles, remain...

PinLanding: Content-First Keyword Landing Page Generation via Multi-Modal AI for Web-Scale Discovery

Online platforms like Pinterest hosting vast content collections traditionally rely on manual cura...

Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance

Precise Event Spotting (PES) aims to identify events and their class from long, untrimmed videos, ...

Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography

Uncertainty quantification is necessary for developers, physicians, and regulatory agencies to bui...

Adaptive Keyframe Sampling for Long Video Understanding

Multimodal large language models (MLLMs) have enabled open-world visual understanding by injecting...

QFAL: Quantum Federated Adversarial Learning

Quantum federated learning (QFL) merges the privacy advantages of federated systems with the compu...

The Common Objects Underwater (COU) Dataset for Robust Underwater Object Detection

We introduce COU: Common Objects Underwater, an instance-segmented image dataset of commonly found...

MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference

Long-context Multimodal Large Language Models (MLLMs) that incorporate long text-image and text-vi...

A Systematic Review of Open Datasets Used in Text-to-Image (T2I) Gen AI Model Safety

Novel research aimed at text-to-image (T2I) generative AI safety often relies on publicly availabl...

Loop unrolling: formal definition and application to testing

Testing processes usually aim at high coverage, but loops severely limit coverage ambitions since ...

LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models

Existing Large Vision-Language Models (LVLMs) can process inputs with context lengths up to 128k v...

A Mobile Robotic Approach to Autonomous Surface Scanning in Legal Medicine

Purpose: Comprehensive legal medicine documentation includes both an internal but also an external...

MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval

Accurately locating key moments within long videos is crucial for solving long video understanding...

Single-Cell Proteomics Using Mass Spectrometry

Single-cell proteomics (SCP) is transforming our understanding of biological complexity by shiftin...

Does RAG Really Perform Bad For Long-Context Processing?

The efficient processing of long context poses a serious challenge for large language models (LLMs...

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