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Borna S, Maniaci MJ, Haider CR, Gomez-Cabello CA, Pressman SM, Haider SA, Demaerschalk BM, Cowart JB, Forte AJ. Artificial Intelligence Support for Informal Patient Caregivers: A Systematic Review. Bioengineering (Basel) 2024; 11:483. [PMID: 38790350 PMCID: PMC11118398 DOI: 10.3390/bioengineering11050483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 05/05/2024] [Accepted: 05/08/2024] [Indexed: 05/26/2024] Open
Abstract
This study aims to explore how artificial intelligence can help ease the burden on caregivers, filling a gap in current research and healthcare practices due to the growing challenge of an aging population and increased reliance on informal caregivers. We conducted a search with Google Scholar, PubMed, Scopus, IEEE Xplore, and Web of Science, focusing on AI and caregiving. Our inclusion criteria were studies where AI supports informal caregivers, excluding those solely for data collection. Adhering to PRISMA 2020 guidelines, we eliminated duplicates and screened for relevance. From 947 initially identified articles, 10 met our criteria, focusing on AI's role in aiding informal caregivers. These studies, conducted between 2012 and 2023, were globally distributed, with 80% employing machine learning. Validation methods varied, with Hold-Out being the most frequent. Metrics across studies revealed accuracies ranging from 71.60% to 99.33%. Specific methods, like SCUT in conjunction with NNs and LibSVM, showcased accuracy between 93.42% and 95.36% as well as F-measures spanning 93.30% to 95.41%. AUC values indicated model performance variability, ranging from 0.50 to 0.85 in select models. Our review highlights AI's role in aiding informal caregivers, showing promising results despite different approaches. AI tools provide smart, adaptive support, improving caregivers' effectiveness and well-being.
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Affiliation(s)
- Sahar Borna
- Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224, USA
| | - Michael J. Maniaci
- Division of Hospital Internal Medicine, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Clifton R. Haider
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN 55905, USA
| | - Cesar A. Gomez-Cabello
- Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224, USA
| | - Sophia M. Pressman
- Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224, USA
| | - Syed Ali Haider
- Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224, USA
| | - Bart M. Demaerschalk
- Department of Neurology, Mayo Clinic College of Medicine and Science, Phoenix, AZ 85054, USA
- Center for Digital Health, Mayo Clinic, Rochester, MN 55905, USA
| | - Jennifer B. Cowart
- Division of Hospital Internal Medicine, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Antonio Jorge Forte
- Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL 32224, USA
- Center for Digital Health, Mayo Clinic, Rochester, MN 55905, USA
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Muyskens K, Ma Y, Dunn M. Can an AI-carebot be filial? Reflections from Confucian ethics. Nurs Ethics 2024:9697330241238332. [PMID: 38472138 DOI: 10.1177/09697330241238332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
This article discusses the application of artificially intelligent robots within eldercare and explores a series of ethical considerations, including the challenges that AI (Artificial Intelligence) technology poses to traditional Chinese Confucian filial piety. From the perspective of Confucian ethics, the paper argues that robots cannot adequately fulfill duties of care. Due to their detachment from personal relationships and interactions, the "emotions" of AI robots are merely performative reactions in different situations, rather than actual emotional abilities. No matter how "humanized" robots become, it is difficult to establish genuine empathy and a meaningful relationship with them for this reason. Even so, we acknowledge that AI robots are a significant tool in managing the demands of elder care and the growth of care poverty, and as such, we attempt to outline some parameters within which care robotics could be acceptable within a Confucian ethical system. Finally, the paper discusses the social impact and ethical considerations brought on by the interaction between humans and machines. It is observed that the relationship between humans and technology has always had both utopian and dystopian aspects, and robotic elder care is no exception. AI caregiver robots will likely become a part of elder care, and the transformation of these robots from "service providers" to "companions" seems inevitable. In light of this, the application of AI-augmented robotic elder care will also eventually change our understanding of interpersonal relationships and traditional requirements of filial piety.
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Affiliation(s)
- Michael A Ashby
- Cancer, Chronic Disease and Sub-Acute Stream, Royal Hobart Hospital, Tasmanian Health Service, School of Medicine, University of Tasmania, Royal Hobart Hospital, Hobart, TAS, 7000, Australia.
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