Geriatrics

Deep Learning Analysis of Cerebral Blood Flow to Identify Cognitive Impairment and Frailty in Persons Living With HIV.

BACKGROUND: Deep learning algorithms of cerebral blood flow were used to classify cognitive impairme...

Artificial Intelligence Distinguishes Surgical Training Levels in a Virtual Reality Spinal Task.

BACKGROUND: With the emergence of competency-based training, the current evaluation scheme of surgic...

Successful Resuscitation of a Young Girl Who Drank Rivastigmine With Respiratory Failure.

Rivastigmine is a non-competitive reversible inhibitor of acetylcholinesterase which is approved as ...

Anticoagulant treatment in elderly patients with atrial fibrillation: a position paper.

Atrial fibrillation (AF) is common in the elderly. The treatment of this condition is based on antic...

Application of Big Data and Artificial Intelligence technologies to dementia prevention research: an opportunity for low-and-middle-income countries.

[Laparoscopic Gastro-Jejunostomy Using the Overlap Method after Subtotal Gastrectomy for Upper Gastric Cancer].

BACKGROUND: Due to an aging society, patients with gastric cancer are also getting older. Although t...

L-arginase induces vascular dysfunction in old spontaneously hypertensive rats.

BACKGROUND: Aging is a major non-modifiable risk factor for hypertension. Changes in aging are simil...

PEEP guided by electrical impedance tomography during one-lung ventilation in elderly patients undergoing thoracoscopic surgery.

BACKGROUND: To examine the influence of positive end-expiratory pressure (PEEP) settings on lung mec...

Venkatramani and Parekh, Does the Use of a Robot Decrease the Complication Rate Adherent to Radical Cystectomy? A Systematic Review and Meta-Analysis of Studies Comparing Open with Robotic Counterparts by Tzelves et al. (From: Tzelves L, Skolarikos A, Mourmouris P, et al. J Endourol 2019;33:985; DOI: 10.1089/end.2019.0689).

Does the Use of the Robot Decrease the Complication Rate Adherent to Radical Cystectomy? A Systematic Review and Meta-Analysis of Studies Comparing Open to Robotic Counterparts by Tzelves et al. (From: Tzelves L, Skolarikos A, Mourmouris P, et al. J Endourol 2019;33:971-984; DOI: 10.1089/end.2019.0226).

Neural machine translation of clinical texts between long distance languages.

OBJECTIVE: To analyze techniques for machine translation of electronic health records (EHRs) between...

[Application and Research of Digital Twin Technology in Safety and Health Monitoring of the Elderly in Community].

In this paper, through the research of digital twin technology, combined with the application of vis...

Machine Learning in Aging Research.

NimbleMiner: An Open-Source Nursing-Sensitive Natural Language Processing System Based on Word Embedding.

This study develops and evaluates an open-source software (called NimbleMiner) that allows clinician...

[Early prognosis of Alzheimer's disease based on convolutional neural networks and ensemble learning].

Alzheimer's disease (AD) is a typical neurodegenerative disease, which is clinically manifested as a...

[The robotic assistance system.].

The aging of the population is a reality common to the entire Western world, while the time availabl...

Sarcopenia feature selection and risk prediction using machine learning: A cross-sectional study.

The purpose of this study was to verify the usefulness of machine learning (ML) for selection of ris...

[Heartbeat-based end-to-end classification of arrhythmias].

OBJECTIVE: We propose a heartbeat-based end-to-end classification of arrhythmias to improve the clas...

Implementation of a Tool for the Assessment of the Frail Elderly in a Robotic Agent.

The concern for aging, chronic illness, and dependence is relevant in today's society. The Nursing d...

An Improvised Classification Model for Predicting Delirium.

With the vast increase of digital healthcare data, there is an opportunity to mine the data for unde...

Using Machine Learning on Home Health Care Assessments to Predict Fall Risk.

Falls are the leading cause of injuries among older adults, particularly in the more vulnerable home...