AIMC Topic: Aged

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Expectations for the Next Generation of Simulated Patients Born from Thoughtful Anticipation of Artificial Intelligence-Equipped Robot.

Journal of Nippon Medical School = Nippon Ika Daigaku zasshi
It is predicted that in the near future robot simulated patients (SPs) will come into use. Through the impressions of five SPs about robot SPs, we explored their vision of the future of medical education as an indicator of what ordinary citizens thin...

Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study.

Restorative neurology and neuroscience
BACKGROUND: Robotic rehabilitation is a highly promising approach to recover lost functions after stroke or other neurological disorders. Unfortunately, robotic rehabilitation currently suffers from "motor slacking", a phenomenon in which the human m...

Development and Application of a System Based on Artificial Intelligence for Transcatheter Aortic Prosthesis Selection.

Brazilian journal of cardiovascular surgery
INTRODUCTION: The interest in Expert systems has increased in the medical area. Some of them are employed even for diagnosis. With the variability of transcatheter prostheses, the most appropriate choice can be complex. This scenario reveals an enabl...

Effects of robot-assisted therapy on upper extremity function and activities of daily living in hemiplegic patients: A single-blinded, randomized, controlled trial.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Many robots can induce passive movements and passive resistance movements to facilitate recovery of upper-extremity function, but it is rare to find robots that can also enable active resistance movements.

Plasma fatty acid profile as biomarker of coronary artery disease: a pilot study using fourth generation artificial neural networks.

Journal of biological regulators and homeostatic agents
Many studies, focused on identifying new biomarkers for coronary artery disease (CAD) risk computation and monitoring, suggested a potential diagnostic role for fatty acids (FA). In the present study, we explored the potential diagnostic role of FA b...

Error-augmented bimanual therapy for stroke survivors.

NeuroRehabilitation
BACKGROUND: Stroke recovery studies have shown the efficacy of bimanual training on upper limb functional recovery and others have shown the efficacy of feedback technology that augments error.

A support vector machine approach to detect trans-tibial prosthetic misalignment using 3-Dimensional ground reaction force features: A proof of concept.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Prosthetists conventionally evaluate alignment based on visual interpretation of patients' gait, which is convenient, but largely subjective and depends on prosthetists' experience.

Machine Learning to Identify Behavioral Determinants of Oral Health in Inner City Older Hispanic Adults.

Studies in health technology and informatics
We applied machine learning techniques to a community-based behavioral dataset to build prediction models to gain insights about minority dental health and population aging as the foundation for future interventions for urban Hispanics. Our applicati...

Effects of robot assistive upper extremity rehabilitation on motor and cognitive recovery, the quality of life, and activities of daily living in stroke patients.

Journal of back and musculoskeletal rehabilitation
OBJECTIVE: To evaluate the effects of robotic rehabilitation on upper extremity functions, cognitive development, and activities of daily living in patients with subacute stroke.

Predicting Depression Among Community Residing Older Adults: A Use of Machine Learning Approch.

Studies in health technology and informatics
The study demonstrated an application of machine learning techniques in building a depression prediction model. We used the NSHAP II data (3,377 subjects and 261 variables) and built the models using a logistic regression with and without L1 regulari...