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Subcategories: Alzheimer's Disease Medicare

Showing 4390-4410 of 8,142 articles

On the challenges of detecting MCI using EEG in the wild

Recent studies have shown promising results in the detection of Mild Cognitive Impairment (MCI) us...

Jan 2025 http://arxiv.org/abs/2501.17871v1

TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis

Predicting future brain states is crucial for understanding healthy aging and neurodegenerative di...

Jan 2025 http://arxiv.org/abs/2501.08667v1

Head Motion Degrades Machine Learning Classification of Alzheimer's Disease from Positron Emission Tomography

Brain positron emission tomography (PET) imaging is broadly used in research and clinical routines...

Jan 2025 http://arxiv.org/abs/2501.08459v1

Combining imaging and shape features for prediction tasks of Alzheimer's disease classification and brain age regression

We investigate combining imaging and shape features extracted from MRI for the clinically relevant...

Jan 2025 http://arxiv.org/abs/2501.07994v1

3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding

Multi-modal Large Language Models (MLLMs) exhibit impressive capabilities in 2D tasks, yet encount...

Jan 2025 http://arxiv.org/abs/2501.07819v1

Driver Age and Its Effect on Key Driving Metrics: Insights from Dynamic Vehicle Data

By 2030, the senior population aged 65 and older is expected to increase by over 50%, significantl...

Jan 2025 http://arxiv.org/abs/2501.06918v1

Deep Learning on Hester Davis Scores for Inpatient Fall Prediction

Fall risk prediction among hospitalized patients is a critical aspect of patient safety in clinica...

Jan 2025 http://arxiv.org/abs/2501.06432v1

BioAgents: Democratizing Bioinformatics Analysis with Multi-Agent Systems

Creating end-to-end bioinformatics workflows requires diverse domain expertise, which poses challe...

Jan 2025 http://arxiv.org/abs/2501.06314v1

Text-to-Edit: Controllable End-to-End Video Ad Creation via Multimodal LLMs

The exponential growth of short-video content has ignited a surge in the necessity for efficient, ...

Jan 2025 http://arxiv.org/abs/2501.05884v1

MRI Patterns of the Hippocampus and Amygdala for Predicting Stages of Alzheimer's Progression: A Minimal Feature Machine Learning Framework

Alzheimer's disease (AD) progresses through distinct stages, from early mild cognitive impairment ...

Jan 2025 http://arxiv.org/abs/2501.05852v1

End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT

Objective: There exist several X-ray computed tomography (CT) scanning strategies to reduce a radi...

Jan 2025 http://arxiv.org/abs/2501.05085v1

Motif Discovery Framework for Psychiatric EEG Data Classification

In current medical practice, patients undergoing depression treatment must wait four to six weeks ...

Jan 2025 http://arxiv.org/abs/2501.04441v1

Application of machine learning for detecting high fall risk in middle-aged workers using video-based analysis of the first 3 steps.

OBJECTIVES: Falls are among the most prevalent workplace accidents, necessitating thorough screening...

Jan 2025 39792357

Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis

This paper explores foundational and applied aspects of survival analysis, using fall risk assessm...

Jan 2025 http://arxiv.org/abs/2501.03058v1

Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology

Multiple Instance Learning (MIL) methods allow for gigapixel Whole-Slide Image (WSI) analysis with...

Jan 2025 http://arxiv.org/abs/2501.02922v1

PARF-Net: integrating pixel-wise adaptive receptive fields into hybrid Transformer-CNN network for medical image segmentation

Convolutional neural networks (CNNs) excel in local feature extraction while Transformers are supe...

Jan 2025 http://arxiv.org/abs/2501.02882v1

LDMapNet-U: An End-to-End System for City-Scale Lane-Level Map Updating

An up-to-date city-scale lane-level map is an indispensable infrastructure and a key enabling tech...

Jan 2025 http://arxiv.org/abs/2501.02763v2

GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation

Medical imaging is crucial for diagnosing, monitoring, and treating medical conditions. The medica...

Jan 2025 http://arxiv.org/abs/2501.02598v1

Attribute-Based Robotic Grasping with Data-Efficient Adaptation

Robotic grasping is one of the most fundamental robotic manipulation tasks and has been the subjec...

Jan 2025 http://arxiv.org/abs/2501.02149v1

Predicting dry matter intake in cattle at scale using gradient boosting regression techniques and Gaussian process boosting regression with Shapley additive explanation explainable artificial intelligence, MLflow, and its containerization.

Dry matter intake (DMI) is a measure critical to managing and evaluating livestock. Methods exist fo...

Jan 2025 39943876

UAV-DETR: Efficient End-to-End Object Detection for Unmanned Aerial Vehicle Imagery

Unmanned aerial vehicle object detection (UAV-OD) has been widely used in various scenarios. Howev...

Jan 2025 http://arxiv.org/abs/2501.01855v2