Geriatrics

Medicare

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

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 631-651 of 2,939 articles
Q-Learning with Clustered-SMART (cSMART) Data: Examining Moderators in the Construction of Clustered Adaptive Interventions

A clustered adaptive intervention (cAI) is a pre-specified sequence of decision rules that guides ...

SRMF: A Data Augmentation and Multimodal Fusion Approach for Long-Tail UHR Satellite Image Segmentation

The long-tail problem presents a significant challenge to the advancement of semantic segmentation...

QuickGrasp: Lightweight Antipodal Grasp Planning with Point Clouds

Grasping has been a long-standing challenge in facilitating the final interface between a robot an...

Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction

This paper presents a comprehensive empirical analysis of conformal prediction methods on a challe...

Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space

Hyperspectral imaging provides detailed spectral information and holds significant potential for m...

Random Long-Context Access for Mamba via Hardware-aligned Hierarchical Sparse Attention

A key advantage of Recurrent Neural Networks (RNNs) over Transformers is their linear computationa...

Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models

We introduce Eagle 2.5, a family of frontier vision-language models (VLMs) for long-context multim...

Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps

A robot navigating an outdoor environment with no prior knowledge of the space must rely on its lo...

VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps

Testing Android apps effectively requires a systematic exploration of the app's possible states by...

Recommending Clinical Trials for Online Patient Cases using Artificial Intelligence

Clinical trials are crucial for assessing new treatments; however, recruitment challenges - such a...

Can We Edit LLMs for Long-Tail Biomedical Knowledge?

Knowledge editing has emerged as an effective approach for updating large language models (LLMs) b...

SIO-Mapper: A Framework for Lane-Level HD Map Construction Using Satellite Images and OpenStreetMap with No On-Site Visits

High-definition (HD) maps, particularly those containing lane-level information regarded as ground...

DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows

Many real-world applications of flow-based generative models desire a diverse set of samples that ...

Kimi-VL Technical Report

We present Kimi-VL, an efficient open-source Mixture-of-Experts (MoE) vision-language model (VLM) ...

Jointly-optimized Trajectory Generation and Camera Control for 3D Coverage Planning

This work proposes a jointly optimized trajectory generation and camera control approach, enabling...

Leveraging State Space Models in Long Range Genomics

Long-range dependencies are critical for understanding genomic structure and function, yet most co...

Adaptive path planning for efficient object search by UAVs in agricultural fields

This paper presents an adaptive path planner for object search in agricultural fields using UAVs. ...

Re-thinking Temporal Search for Long-Form Video Understanding

Efficiently understanding long-form videos remains a significant challenge in computer vision. In ...

Learning to Reason for Long-Form Story Generation

Generating high-quality stories spanning thousands of tokens requires competency across a variety ...

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