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Artificial Intelligence Tools and Applications for Elderly Healthcare: Review
Linnaeus University, Faculty of Technology, Department of Informatics. (Information Systems)ORCID iD: 0000-0002-4437-8297
2023 (English)In: ICCAI '23: Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence, ACM Publications, 2023, , p. 4p. 394-397Conference paper, Published paper (Refereed)
Sustainable development
SDG 3: Ensure healthy lives and promote well-being for all at all ages
Abstract [en]

This study attempts to capture a holistic view of the Artificial Intelligence (AI) tools and applications for elderly healthcare to understand the impact of information and communication technologies on the quality of life for elderly people. The empirical material is collected through a literature review. Machine learning (ML), Natural language processing (NLP), Deep learning models, diagnosis and treatment applications, administrative applications, and Internet of things (IOT) are considered as the important technologies used for AI-based elderly healthcare solutions. This research work contributes to the existing literature by extracting important themes from reviewed literature such as Smart homes for elderly, AI-based health monitoring technologies, wearable devices, gamification technologies in elderly care, Robotic systems, AI for privacy protection of elderly app users and Ethical aspects of AI technologies for elderly. Additionally, a general scarcity of research on the topics of privacy protection and ethical aspects of AI technologies for elderly and healthcare personnel is noticed.

Place, publisher, year, edition, pages
ACM Publications, 2023. , p. 4p. 394-397
Keywords [en]
AI, Healthcare, Elderly, Digital transformation
National Category
Computer Systems
Research subject
Computer and Information Sciences Computer Science; Computer and Information Sciences Computer Science, Information Systems
Identifiers
URN: urn:nbn:se:lnu:diva-123428DOI: 10.1145/3594315.3594347Scopus ID: 2-s2.0-85168245262ISBN: 9781450399029 (electronic)OAI: oai:DiVA.org:lnu-123428DiVA, id: diva2:1785614
Conference
ICCAI 23: Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence, March 17–20, 2023, Tianjin, China.
Available from: 2023-08-03 Created: 2023-08-03 Last updated: 2024-01-18Bibliographically approved

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Iqbal, Sarfraz

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CiteExportLink to record
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Citation style
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Output format
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