Geriatrics

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

8,142 articles
Stay Ahead - Weekly Geriatrics research updates
Subscribe
Browse Categories
Subcategories: Alzheimer's Disease Medicare
Showing 4117-4137 of 8,142 articles
NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI

Neuro-Symbolic AI (NSAI) is an emerging paradigm that integrates neural networks with symbolic rea...

HoloDx: Knowledge- and Data-Driven Multimodal Diagnosis of Alzheimer's Disease

Accurate diagnosis of Alzheimer's disease (AD) requires effectively integrating multimodal data an...

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....

Reimagining Assistive Walkers: An Exploration of Challenges and Preferences in Older Adults

The well-being of older adults relies significantly on maintaining balance and mobility. As physic...

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) ...

Knowledge Uncertainty Estimation for Reliable Clinical Decision Support: A Delirium Risk Prognosis Case Study.

INTRODUCTION: Predictive models hold significant potential in healthcare, but their adoption in clin...

Apr 2025 40270416
4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis

Multimodal neuroimaging provides complementary structural and functional insights into both human ...

HEMA : A Hippocampus-Inspired Extended Memory Architecture for Long-Context AI Conversations

Large language models (LLMs) struggle with maintaining coherence in extended conversations spannin...

WiFi based Human Fall and Activity Recognition using Transformer based Encoder Decoder and Graph Neural Networks

Human pose estimation and action recognition have received attention due to their critical roles i...

$π_{0.5}$: 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, ...

Towards prediction of morphological heart age from computed tomography angiography

Age prediction from medical images or other health-related non-imaging data is an important approa...

SCALE-Sim v3: A modular cycle-accurate systolic accelerator simulator for end-to-end system analysis

The rapid advancements in AI, scientific computing, and high-performance computing (HPC) have driv...

FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection

The proliferation of Internet of Things (IoT) devices has expanded the attack surface, necessitati...

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...

A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs

Synthetic Electronic Health Records (EHRs) offer a valuable opportunity to create privacy preservi...

Relation-R1: Progressively Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relation Comprehension

Recent advances in multi-modal large language models (MLLMs) have significantly improved object-le...

End-Edge Model Collaboration: Bandwidth Allocation for Data Upload and Model Transmission

The widespread adoption of large artificial intelligence (AI) models has enabled numerous applicat...

Transforming Hyperspectral Images Into Chemical Maps: An End-to-End Deep Learning Approach

Current approaches to chemical map generation from hyperspectral images are based on models such a...

Compile Scene Graphs with Reinforcement Learning

Next-token prediction is the fundamental principle for training large language models (LLMs), and ...

Compile Scene Graphs with Reinforcement Learning

Next-token prediction is the fundamental principle for training large language models (LLMs), and ...

Browse Categories