Geriatrics

Medicare

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

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 610-630 of 3,451 articles
Deep learning estimation of three-dimensional left atrial shape from two-chamber and four-chamber cardiac long axis views.

AIMS: Left atrial volume is commonly estimated using the bi-plane area-length method from two-chambe...

Use of artificial intelligence for cancer clinical trial enrollment: a systematic review and meta-analysis.

BACKGROUND: The aim of this study is to provide a comprehensive understanding of the current landsca...

An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation.

High Resolution (HR) medical images provide rich anatomical structure details to facilitate early an...

[Fostering Pharmacists to Succeed in a Drastically Changing Society].

In 2006, Japan's pharmaceutical science education was revised to a 6-year enrollment course, placing...

Analysis of the influence of surgical robot drilling parameters on the temperature of skull drilling based on Box-Behnken design.

It is easy to cause thermal damage to the bone tissue when the surgical robot performs skull drillin...

Artificial Intelligence: First Do the Long Overdue Doable.

Release of ChatGPT-4, an internet-based computer program that simulates conversation with human user...

Contrastive learning of protein representations with graph neural networks for structural and functional annotations.

Although protein sequence data is growing at an ever-increasing rate, the protein universe is still ...

Semi-supervised Long-tail Endoscopic Image Classification.

Objective To explore the semi-supervised learning (SSL) algorithm for long-tail endoscopic image cla...

MAMnet: detecting and genotyping deletions and insertions based on long reads and a deep learning approach.

Structural variations (SVs) play important roles in human genetic diversity; deletions and insertion...

DeepSCP: utilizing deep learning to boost single-cell proteome coverage.

Multiplexed single-cell proteomes (SCPs) quantification by mass spectrometry greatly improves the SC...

Deep learning tools are top performers in long non-coding RNA prediction.

The increasing amount of transcriptomic data has brought to light vast numbers of potential novel RN...

Long COVID and cardiovascular disease: a learning health system approach.

Cardiovascular disease is both a risk factor and potential outcome of the direct, indirect and long-...

The Delta Robot-A long travel nano-positioning stage for scanning x-ray microscopy.

A new stage design concept, the Delta Robot, is presented, which is a parallel kinematic design for ...

DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding.

Long non-coding RNAs (lncRNAs) are a class of RNA molecules with more than 200 nucleotides. A growin...

LncRNAWiki 2.0: a knowledgebase of human long non-coding RNAs with enhanced curation model and database system.

LncRNAWiki, a knowledgebase of human long non-coding RNAs (lncRNAs), has been rapidly expanded by in...

Development of a deep learning method for CT-free correction for an ultra-long axial field of view PET scanner.

INTRODUCTION: The possibility of low-dose positron emission tomography (PET) imaging using high sens...

Deep learning analysis of electrocardiogram for risk prediction of drug-induced arrhythmias and diagnosis of long QT syndrome.

AIMS: Congenital long-QT syndromes (cLQTS) or drug-induced long-QT syndromes (diLQTS) can cause tors...

Paediatric/young versus adult patients with long QT syndrome.

INTRODUCTION: Long QT syndrome (LQTS) is a less prevalent cardiac ion channelopathy than Brugada syn...

[Effect of electrode array type and insertion technique on the insertion force: in vitro cochlear model study].

To investigate the effect of insertion technique and electrode array type on the insertion force of...

Artificial Intelligence, Machine Learning, and Medicine: A Little Background Goes a Long Way Toward Understanding.

Artificial intelligence (AI) and machine learning refer to computers built and programed by humans t...

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