Geriatrics

Medicare

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

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 274-294 of 3,442 articles
Scoping review of the current landscape of AI-based applications in clinical trials.

BACKGROUND: Clinical trials are essential for bringing new drugs, technologies and procedures to the...

A novel multichannel deep learning model for fast denoising of Monte Carlo dose calculations: preclinical applications.

In preclinical radiotherapy with kilovolt (kV) x-ray beams, accurate treatment planning is needed to...

A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification.

The attention mechanism of the Transformer has the advantage of extracting feature correlation in th...

Fast VMAT planning for prostate radiotherapy: dosimetric validation of a deep learning-based initial segment generation method.

. To develop and evaluate a deep learning based fast volumetric modulated arc therapy (VMAT) plan ge...

LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction.

The near-surface temperature prediction (NTP) is an important spatial-temporal forecast problem, whi...

HCTNet: A Hybrid ConvNet-Transformer Network for Retinal Optical Coherence Tomography Image Classification.

Automatic and accurate optical coherence tomography (OCT) image classification is of great significa...

A Novel Path Planning Strategy for a Cleaning Audit Robot Using Geometrical Features and Swarm Algorithms.

Robot-aided cleaning auditing is pioneering research that uses autonomous robots to assess a region'...

SNR Prediction with ANN for UAV Applications in IoT Networks Based on Measurements.

The 5G deployment brings forth the usage of Unmanned Aerial Vehicles (UAV) to assist wireless networ...

Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry.

In contrast with our everyday experience using brain circuits, it can take a prohibitively long time...

Two different methods of bronchial dissection and coverage in robotic bilobectomy for advanced lung cancer.

INTRODUCTION: Due to its many technical advantages, the scope of robot-assisted thoracic surgery (RA...

[The use of robotic and technical systems for early mobilization of intensive care patients: A scoping review].

The use of robotic and technical systems for early mobilization of intensive care patients: A scopin...

Deep Learning, Mining, and Collaborative Clustering to Identify Flexible Daily Activities Patterns.

The monitoring of the daily life activities routine is beneficial, especially in old age. It can pro...

AI-based structure prediction empowers integrative structural analysis of human nuclear pores.

INTRODUCTION The eukaryotic nucleus pro-tects the genome and is enclosed by the two membranes of the...

Construction of Tourism E-Commerce Platform Based on Artificial Intelligence Algorithm.

In the late twentieth century, with the rapid development of the Internet, e-commerce has emerged ra...

Long Jump Action Recognition Based on Deep Convolutional Neural Network.

Long jump is a test item of national student physical health monitoring, which can reflect the quali...

Evaluating machine learning classifiers for glaucoma referral decision support in primary care settings.

Several artificial intelligence algorithms have been proposed to help diagnose glaucoma by analyzing...

Gaussian Mixture Model and Self-Organizing Map Neural-Network-Based Coverage for Target Search in Curve-Shape Area.

This article focuses on the target search problem in a curve-shape area using multiple unmanned aeri...

A deep learning approach identifies new ECG features in congenital long QT syndrome.

BACKGROUND: Congenital long QT syndrome (LQTS) is a rare heart disease caused by various underlying ...

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