Geriatrics

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

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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, ...

Foundation Models -- A Panacea for Artificial Intelligence in Pathology?

The role of artificial intelligence (AI) in pathology has evolved from aiding diagnostics to uncov...

Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transport

Simulating prospective magnetic resonance imaging (MRI) scans from a given individual brain image ...

Scalable Signature Kernel Computations for Long Time Series via Local Neumann Series Expansions

The signature kernel is a recent state-of-the-art tool for analyzing high-dimensional sequential d...

VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers

In autonomous driving, dynamic environment and corner cases pose significant challenges to the rob...

PhenoProfiler: Advancing Phenotypic Learning for Image-based Drug Discovery

In the field of image-based drug discovery, capturing the phenotypic response of cells to various ...

ObjectVLA: End-to-End Open-World Object Manipulation Without Demonstration

Imitation learning has proven to be highly effective in teaching robots dexterous manipulation ski...

MultiConAD: A Unified Multilingual Conversational Dataset for Early Alzheimer's Detection

Dementia is a progressive cognitive syndrome with Alzheimer's disease (AD) as the leading cause. C...

An Improved 3D Skeletons UP-Fall Dataset: Enhancing Data Quality for Efficient Impact Fall Detection

Detecting impact where an individual makes contact with the ground within a fall event is crucial ...

SpargeAttn: Accurate Sparse Attention Accelerating Any Model Inference

An efficient attention implementation is essential for large models due to its quadratic time comp...

DeepSeek-R1 Outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in Bilingual Complex Ophthalmology Reasoning

Purpose: To evaluate the accuracy and reasoning ability of DeepSeek-R1 and three other recently re...

VeriPlan: Integrating Formal Verification and LLMs into End-User Planning

Automated planning is traditionally the domain of experts, utilized in fields like manufacturing a...

[Classification of Alzheimer's disease based on multi-example learning and multi-scale feature fusion].

Alzheimer's disease (AD) classification models usually segment the entire brain image into voxel blo...

Feb 2025 40000185
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...

End-to-End Chart Summarization via Visual Chain-of-Thought in Vision-Language Models

Automated chart summarization is crucial for enhancing data accessibility and enabling efficient i...

Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model

Room layout estimation from multiple-perspective images is poorly investigated due to the complexi...

End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework

Brain imaging analysis is fundamental in neuroscience, providing valuable insights into brain stru...

Detecting Long QT Syndrome and First-Degree Atrioventricular Block using Single-Lead AI-ECG: A Multi-Center Real-World Study

Home-based single-lead AI-ECG devices have enabled continuous, real-world cardiac monitoring. Howe...

The ETKidney simulator: a discrete event simulator to assess the impact of alternative kidney allocation rules in Eurotransplant

Over 10,000 candidates wait for a kidney transplantation in Eurotransplant, and are prioritized fo...

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...

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