Geriatrics

Medicare

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

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 337-357 of 3,442 articles
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets.

OBJECTIVES: Biomedical natural language processing tools are increasingly being applied for broad-co...

Predicting Fatigue in Long Duration Mountain Events with a Single Sensor and Deep Learning Model.

AIM: To determine whether an AI model and single sensor measuring acceleration and ECG could model c...

A riddle, wrapped in a mystery, inside an enigma: How semantic black boxes and opaque artificial intelligence confuse medical decision-making.

The use of artificial intelligence (AI) in healthcare comes with opportunities but also numerous cha...

Modelling and Control of a Reconfigurable Robot for Achieving Reconfiguration and Locomotion with Different Shapes.

Area coverage is a crucial factor for a robot intended for applications such as floor cleaning, disi...

Long-Tailed Characteristic of Spiking Pattern Alternation Induced by Log-Normal Excitatory Synaptic Distribution.

Studies of structural connectivity at the synaptic level show that in synaptic connections of the ce...

The Emerging Role of Long Non-Coding RNAs and MicroRNAs in Neurodegenerative Diseases: A Perspective of Machine Learning.

Neurodegenerative diseases (NDs) are characterized by progressive neuronal dysfunction and death of ...

Towards an Optimal Footprint Based Area Coverage Strategy for a False-Ceiling Inspection Robot.

False-ceiling inspection is a critical factor in pest-control management within a built infrastructu...

Design and experimental evaluation of the novel undulatory propulsors for biomimetic underwater robots.

Inspired by wide and elongated fins of aquatic species, robotic undulatory propulsors are developed ...

Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning.

INTRODUCTION: Quantitative Susceptibility Mapping (QSM) is generally acquired with full brain covera...

A deep learning model for predicting next-generation sequencing depth from DNA sequence.

Targeted high-throughput DNA sequencing is a primary approach for genomics and molecular diagnostics...

Challenges in Obtaining Valid Causal Effect Estimates with Machine Learning Algorithms.

Unlike parametric regression, machine learning (ML) methods do not generally require precise knowled...

Computer-assisted surgery in medical and dental applications.

INTRODUCTION: Computer-assisted surgery (CAS) is a broad surgical methodology that utilizes computer...

Construction and Simulation of Financial Audit Model Based on Convolutional Neural Network.

Big data has brought a new round of information revolution. Faced with the goal of full coverage of ...

A hybrid feature-based patient-to-image registration method for robot-assisted long bone osteotomy.

PURPOSE: The purpose of this study is to provide a simple, feasible and effective patient-to-image r...

Ultrasensitive biosensors based on waveguide-coupled long-range surface plasmon resonance (WC-LRSPR) for enhanced fluorescence spectroscopy.

We investigated the coupling phenomenon between plasmonic resonance and waveguide modes through theo...

Deep Learning-Based Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction: A Point-of-Care Solution.

BACKGROUND: We have recently tested an automated machine-learning algorithm that quantifies left ven...

Estimating heterogeneous survival treatment effect in observational data using machine learning.

Methods for estimating heterogeneous treatment effect in observational data have largely focused on ...

Combining data assimilation and machine learning to build data-driven models for unknown long time dynamics-Applications in cardiovascular modeling.

We propose a method to discover differential equations describing the long-term dynamics of phenomen...

Streamlined magnetic resonance fingerprinting: Fast whole-brain coverage with deep-learning based parameter estimation.

Magnetic resonance fingerprinting (MRF) is a quantitative MRI (qMRI) framework that provides simulta...

ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion.

The dysregulation and mutation of long non-coding RNAs (lncRNAs) have been proved to result in a var...

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