Geriatrics

Medicare

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

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 1001-1020 of 3,588 articles

MTVNet: Mapping using Transformers for Volumes -- Network for Super-Resolution with Long-Range Interactions

Until now, it has been difficult for volumetric super-resolution to utilize the recent advances in transformer-based models seen in 2D super-resolution. The memory required for self-attention in 3D volumes limits the receptive field. Therefore, long-range interactions are not used in 3D to the extent done in 2D and the strength of transformers is not realized. We propose a multi-scale transforme...

Durbin: Internet Outage Detection with Adaptive Passive Analysis

Measuring Internet outages is important to allow ISPs to improve their services, users to choose providers by reliability, and governments to understand the reliability of their infrastructure. Today's active outage detection provides good accuracy with tight temporal and spatial precision (around 10 minutes and IPv4 /24 blocks), but cannot see behind firewalls or into IPv6. Systems using passiv...

Trading off performance and human oversight in algorithmic policy: evidence from Danish college admissions

Student dropout is a significant concern for educational institutions due to its social and economic impact, driving the need for risk prediction sy...

A Novel Automatic Real-time Motion Tracking Method for Magnetic Resonance Imaging-guided Radiotherapy: Leveraging the Enhanced Tracking-Learning-Detection Framework with Automatic Segmentation

Background and Purpose: Accurate motion tracking in MRI-guided Radiotherapy (MRIgRT) is essential for effective treatment delivery. This study aimed...

Deep learning assisted quantitative analysis of Aβ and microglia in patients with idiopathic normal pressure hydrocephalus in relation to cognitive outcome.

Neuropathologic changes of Alzheimer disease (AD) including Aβ accumulation and neuroinflammation are frequently observed in the cerebral cortex of pa...

Nov 1 2024 39101555
Taming the Long Tail in Human Mobility Prediction

With the popularity of location-based services, human mobility prediction plays a key role in enhancing personalized navigation, optimizing recommen...

ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation

Navigating and understanding complex environments over extended periods of time is a significant challenge for robots. People interacting with the r...

LoRa Communication for Agriculture 4.0: Opportunities, Challenges, and Future Directions

The emerging field of smart agriculture leverages the Internet of Things (IoT) to revolutionize farming practices. This paper investigates the trans...

Refinement of genetic variants needs attention

Variant calling refinement is crucial for distinguishing true genetic variants from technical artifacts in high-throughput sequencing data. Manual r...

Analysis of 3GPP and Ray-Tracing Based Channel Model for 5G Industrial Network Planning

Appropriate channel models tailored to the specific needs of industrial environments are crucial for the 5G private industrial network design and gu...

Machine learning for detection of heterogeneous effects of Medicaid coverage on depression.

In 2008, Oregon expanded its Medicaid program using a lottery, creating a rare opportunity to study the effects of Medicaid coverage using a randomize...

Jul 8 2024 38400644
Using deep learning to improve the intelligibility of a target speaker in noisy multi-talker environments for people with normal hearing and hearing loss.

Understanding speech in noisy environments is a challenging task, especially in communication situations with several competing speakers. Despite thei...

Jul 1 2024 39082692
Enhancing Hi-C contact matrices for loop detection with Capricorn: a multiview diffusion model.

MOTIVATION: High-resolution Hi-C contact matrices reveal the detailed three-dimensional architecture of the genome, but high-coverage experimental Hi-...

Jun 28 2024 38940142
ALPHAGMUT: A Rationale-Guided Alpha Shape Graph Neural Network to Evaluate Mutation Effects

In silico methods evaluating the mutation effects of missense mutations are providing an important approach for understanding mutations in personal ...

Lower Extremity Growth according to AI Automated Femorotibial Length Measurement on Slot-Scanning Radiographs in Pediatric Patients.

Background Commonly used pediatric lower extremity growth standards are based on small, dated data sets. Artificial intelligence (AI) enables creation...

Apr 1 2024 38687217
Understanding gut microbiome-based machine learning platforms: A review on therapeutic approaches using deep learning.

Human beings possess trillions of microbial cells in a symbiotic relationship. This relationship benefits both partners for a long time. The gut micro...

Mar 1 2024 38491814
Deep Learning-based Fibrosis Extent on Computed Tomography Predicts Outcome of Fibrosing Interstitial Lung Disease Independent of Visually Assessed Computed Tomography Pattern.

Radiologic pattern has been shown to predict survival in patients with fibrosing interstitial lung disease. The additional prognostic value of fibros...

Feb 1 2024 37696027
Beyond the aspirational: creating the future of health care in Australia.

The context of health care in Australia is shifting very rapidly; more chronic diseases, budgetary stress and the constant threat of the next pandemic...

Feb 1 2024 37926972
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