Table of Contents

Volume 7,Issue 1

Open Access Original Research

Improving Confidence in Dementia Care by Helping Care Staff Articulate Skills They Already Possess: The Value of the Communication and Interaction Training (CAIT) Programme

Received: 14 August 2022;  Published: 18 January 2023;  doi: 10.21926/obm.geriatr.2301222

Abstract

This article discusses the findings from a training programme called ‘Communication and Interaction Training’ (CAIT). CAIT was designed to improve the confidence of carers in their use of communication skills with people living with dementia, particularly when managing behavioural agitation. This pre/post assessment study employed a mixed design, and showed positive effects in terms of quantitative and qualitative features. The participants were mainly from a specialist team who were experienced [...]

Open Access Editorial

Acknowledgement to Reviewers of OBM Geriatrics in 2022

Received: 04 January 2023;  Published: 04 January 2023;  doi: 10.21926/obm.geriatr.2301221

Abstract

The editors of OBM Geriatrics would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2022. We greatly appreciate the contribution of expert reviewers, which is crucial to the journal’s editorial process. We aim to recognize reviewer contributions through several mechanisms, of which the annual publication of reviewer names is one. Reviewers receive a voucher entitling them to a discount on their next LIDSEN publication and can d [...]

Open Access Original Research

Brain Imaging Studies Using Deep Neural Networks in the Detection of Alzheimer's Disease

Received: 29 June 2022;  Published: 03 January 2023;  doi: 10.21926/obm.geriatr.2301220

Abstract

The increasing incidence of adult-onset dementia disorders and primarily Alzheimer’s disease (AD) among the aging population around the world is increasing the social and economic burden on society and healthcare systems. This paper presents three neural networking algorithms: MobileNet, Artificial Neural Networks (ANN), and DenseNet for AD classification based on MRI imaging data. The results of each model were compared in terms of performance metrics such as accuracy, true positive [...]

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