Published on in Vol 2, No 2 (2019): Jul-Dec

Innovative Assisted Living Tools, Remote Monitoring Technologies, Artificial Intelligence-Driven Solutions, and Robotic Systems for Aging Societies: Systematic Review

Innovative Assisted Living Tools, Remote Monitoring Technologies, Artificial Intelligence-Driven Solutions, and Robotic Systems for Aging Societies: Systematic Review

Innovative Assisted Living Tools, Remote Monitoring Technologies, Artificial Intelligence-Driven Solutions, and Robotic Systems for Aging Societies: Systematic Review

Authors of this article:

A Hasan Sapci1 Author Orcid Image ;   H Aylin Sapci2 Author Orcid Image

Journals

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  2. Anghel I, Cioara T, Moldovan D, Antal M, Pop C, Salomie I, Pop C, Chifu V. Smart Environments and Social Robots for Age-Friendly Integrated Care Services. International Journal of Environmental Research and Public Health 2020;17(11):3801 View
  3. Abdi S, de Witte L, Hawley M. Emerging Technologies With Potential Care and Support Applications for Older People: Review of Gray Literature. JMIR Aging 2020;3(2):e17286 View
  4. Wilmink G, Dupey K, Alkire S, Grote J, Zobel G, Fillit H, Movva S. Artificial Intelligence–Powered Digital Health Platform and Wearable Devices Improve Outcomes for Older Adults in Assisted Living Communities: Pilot Intervention Study. JMIR Aging 2020;3(2):e19554 View
  5. Rubeis G. The disruptive power of Artificial Intelligence. Ethical aspects of gerontechnology in elderly care. Archives of Gerontology and Geriatrics 2020;91:104186 View
  6. Belkacem A, Jamil N, Palmer J, Ouhbi S, Chen C. Brain Computer Interfaces for Improving the Quality of Life of Older Adults and Elderly Patients. Frontiers in Neuroscience 2020;14 View
  7. Oprescu A, Miro-Amarante G, Garcia-Diaz L, Beltran L, Rey V, Romero-Ternero M. Artificial Intelligence in Pregnancy: A Scoping Review. IEEE Access 2020;8:181450 View
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  9. Oh-Park M, Lew H, Raghavan P. Telerehabilitation for Geriatrics. Physical Medicine and Rehabilitation Clinics of North America 2021;32(2):291 View
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  11. Abdi S, Witte L, Hawley M. Exploring the Potential of Emerging Technologies to Meet the Care and Support Needs of Older People: A Delphi Survey. Geriatrics 2021;6(1):19 View
  12. Fares N, Sherratt R, Elhajj I. Directing and Orienting ICT Healthcare Solutions to Address the Needs of the Aging Population. Healthcare 2021;9(2):147 View
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  14. Mathur A. Care of Older Adults in the Post-COVID Era. Journal of the Indian Academy of Geriatrics 2020;16(3):89 View
  15. Follmann A, Schollemann F, Arnolds A, Weismann P, Laurentius T, Rossaint R, Czaplik M. Reducing Loneliness in Stationary Geriatric Care with Robots and Virtual Encounters—A Contribution to the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021;18(9):4846 View
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  18. Li W, Yigitcanlar T, Erol I, Liu A. Motivations, barriers and risks of smart home adoption: From systematic literature review to conceptual framework. Energy Research & Social Science 2021;80:102211 View
  19. Li M, Shen J, Wang X, Chen Q, Xiaoyan L, Ren L. A theoretical framework based on the needs of smart aged care for Chinese community‐dwelling older adults: A grounded theory study. International Journal of Nursing Knowledge 2024;35(1):13 View
  20. Kong D, Liu S, Hong Y, Chen K, Luo Y. Perspectives on the popularization of smart senior care to meet the demands of older adults living alone in communities of Southwest China: A qualitative study. Frontiers in Public Health 2023;11 View
  21. Goh Y, Ow Yong J, Chee B, Kuek J, Ho C. Machine Learning in Health Promotion and Behavioral Change: Scoping Review. Journal of Medical Internet Research 2022;24(6):e35831 View
  22. Rubeis G. Liquid Health. Medicine in the age of surveillance capitalism. Social Science & Medicine 2023;322:115810 View
  23. Ritchie C, Leff B. Home-Based Care Reimagined: A Full-Fledged Health Care Delivery Ecosystem Without Walls. Health Affairs 2022;41(5):689 View
  24. Park S, Ha J, Park J, Lee K, Im C. Brain-Controlled, AR-Based Home Automation System Using SSVEP-Based Brain-Computer Interface and EOG-Based Eye Tracker: A Feasibility Study for the Elderly End User. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023;31:544 View
  25. Higgs P, Gilleard C. Techno-fixes for an ageing society. Aging & Mental Health 2022;26(7):1303 View
  26. Rubeis G. Adiaphorisation and the digital nursing gaze: Liquid surveillance in long‐term care. Nursing Philosophy 2023;24(1) View
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  29. Park E, Werder K, Cao L, Ramesh B. Why do Family Members Reject AI in Health Care? Competing Effects of Emotions. Journal of Management Information Systems 2022;39(3):765 View
  30. Ruyobeza B, Grobbelaar S, Botha A. Hurdles to developing and scaling remote patients’ health management tools and systems: a scoping review. Systematic Reviews 2022;11(1) View
  31. Golkar A, Malekhosseini R, RahimiZadeh K, Yazdani A, Beheshti A. A priority queue-based telemonitoring system for automatic diagnosis of heart diseases in integrated fog computing environments. Health Informatics Journal 2022;28(4):146045822211374 View
  32. Zhang Z, Chen J. The Enterprise's Willingness to Use Remote Monitoring Technology Under the Background of Green Operation and Service-Oriented Manufacturing. Journal of Organizational and End User Computing 2023;35(2):1 View
  33. Hartmann K, Primc N, Rubeis G. Lost in translation? Conceptions of privacy and independence in the technical development of AI-based AAL. Medicine, Health Care and Philosophy 2023;26(1):99 View
  34. Momin M, Sufian A, Barman D, Dutta P, Dong M, Leo M. In-Home Older Adults’ Activity Pattern Monitoring Using Depth Sensors: A Review. Sensors 2022;22(23):9067 View
  35. Huang R, Li H, Suomi R, Li C, Peltoniemi T. Intelligent Physical Robots in Health Care: Systematic Literature Review. Journal of Medical Internet Research 2023;25:e39786 View
  36. Li W, Yigitcanlar T, Liu A, Erol I. Mapping two decades of smart home research: A systematic scientometric analysis. Technological Forecasting and Social Change 2022;179:121676 View
  37. Wang B, Xu L, Jain D. Construction of the “Internet Plus” Community Smart Elderly Care Service Platform. Journal of Healthcare Engineering 2021;2021:1 View
  38. An R, Shen J, Xiao Y. Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies. Journal of Medical Internet Research 2022;24(12):e40589 View
  39. Lorusso L, Mosmondor M, Grguric A, Toccafondi L, D’Onofrio G, Russo S, Lampe J, Pihl T, Mayer N, Vignani G, Lesterpt I, Vaamonde L, Giuliani F, Bonaccorsi M, La Viola C, Rovini E, Cavallo F, Fiorini L. Design and Evaluation of Personalized Services to Foster Active Aging: The Experience of Technology Pre-Validation in Italian Pilots. Sensors 2023;23(2):797 View
  40. Ma B, Yang J, Wong F, Wong A, Ma T, Meng J, Zhao Y, Wang Y, Lu Q. Artificial intelligence in elderly healthcare: A scoping review. Ageing Research Reviews 2023;83:101808 View
  41. Tagde P, Tagde S, Bhattacharya T, Tagde P, Chopra H, Akter R, Kaushik D, Rahman M. Blockchain and artificial intelligence technology in e-Health. Environmental Science and Pollution Research 2021;28(38):52810 View
  42. Su Z, Meyer K, Li Y, McDonnell D, Joseph N, Li X, Du Y, Advani S, Cheshmehzangi A, Ahmad J, da Veiga C, Chung R, Wang J, Hao X. Technology-based interventions for nursing home residents: a systematic review protocol. BMJ Open 2021;11(12):e056142 View
  43. Cao Y, Erdt M, Robert C, Naharudin N, Lee S, Theng Y. Decision-making Factors Toward the Adoption of Smart Home Sensors by Older Adults in Singapore: Mixed Methods Study. JMIR Aging 2022;5(2):e34239 View
  44. Farahani M. Applications of Artificial Intelligence in Social Science Issues: a Case Study on Predicting Population Change. Journal of the Knowledge Economy 2024;15(1):3266 View
  45. Oyibo K, Wang K, Morita P. Using Smart Home Technologies to Promote Physical Activity Among the General and Aging Populations: Scoping Review. Journal of Medical Internet Research 2023;25:e41942 View
  46. Jiang Y, Wang J. Technological Innovations and Data-Driven Support for Older Adults. JMIR Aging 2023;6:e48547 View
  47. Cho E, Kim S, Heo S, Shin J, Hwang S, Kwon E, Lee S, Kim S, Kang B. Machine learning-based predictive models for the occurrence of behavioral and psychological symptoms of dementia: model development and validation. Scientific Reports 2023;13(1) View
  48. Bird J, Lotfi A. Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation. Genetic Programming and Evolvable Machines 2023;24(1) View
  49. Sam R, Lau Y, Lau Y, Lau S. Types, functions and mechanisms of robot-assisted intervention for fall prevention: A systematic scoping review. Archives of Gerontology and Geriatrics 2023;115:105117 View
  50. Gallistl V, von Laufenberg R. Caring for data in later life – the datafication of ageing as a matter of care. Information, Communication & Society 2024;27(4):774 View
  51. Marks R. Artificial intelligence and aging: potential and precautions. MOJ Gerontology & Geriatrics 2023;8(2):43 View
  52. Ventura S, Ottoboni G, Lullini G, Chattat R, Simoncini L, Magni E, Piperno R, La Porta F, Tessari A. Co-designing an interactive artificial intelligent system with post-stroke patients and caregivers to augment the lost abilities and improve their quality of life: a human-centric approach. Frontiers in Public Health 2023;11 View
  53. Sharma N, Braakman-Jansen L, Oinas-Kukkonen H, Croockewit J, Gemert-Pijnen J. Exploring the Needs and Requirements of Informal Caregivers of Older Adults With Cognitive Impairment From Sensor-Based Care Solutions: Multimethod Study. JMIR Aging 2023;6:e49319 View
  54. Ruiter A, Wang Z, Yin Z, Naber W, Simons J, Blom J, van Gemert J, Verschuuren J, Tannemaat M. Assessing facial weakness in myasthenia gravis with facial recognition software and deep learning. Annals of Clinical and Translational Neurology 2023;10(8):1314 View
  55. Shiwani T, Relton S, Evans R, Kale A, Heaven A, Clegg A, Abuzour A, Alderman J, Anand A, Bhanu C, Bunn J, Collins J, Cutillo L, Hall M, Keevil V, Mitchell L, Ogliari G, Penfold R, van Oppen J, Vardy E, Walesby K, Wilkinson C, Zucker K, Todd O. New Horizons in artificial intelligence in the healthcare of older people. Age and Ageing 2023;52(12) View
  56. Eost-Telling C, Yang Y, Norman G, Hall A, Hanratty B, Knapp M, Robinson L, Todd C. Digital technologies to prevent falls in people living with dementia or mild cognitive impairment: a rapid systematic overview of systematic reviews. Age and Ageing 2024;53(1) View
  57. Hartmann K, Rubeis G, Primc N. Healthy and Happy? An Ethical Investigation of Emotion Recognition and Regulation Technologies (ERR) within Ambient Assisted Living (AAL). Science and Engineering Ethics 2024;30(1) View
  58. Diment L, Curtin S, Kenney L, Reynolds K, Granat M. Priorities when designing a service-focused delivery model for mobility devices: a systematic review. Disability and Rehabilitation: Assistive Technology 2024:1 View
  59. Wang K, Ghafurian M, Chumachenko D, Cao S, Butt Z, Salim S, Abhari S, Morita P. Application of artificial intelligence in active assisted living for aging population in real-world setting with commercial devices – A scoping review. Computers in Biology and Medicine 2024;173:108340 View
  60. Wang J, Yu Y, Lu C. Switching Intention of Potential Smart Home Users: The Co-action of Innovation Diffusion Theory and Switching Costs. International Journal of Human–Computer Interaction 2024:1 View
  61. Kim S. Application and Challenges of the Technology Acceptance Model in Elderly Healthcare: Insights from ChatGPT. Technologies 2024;12(5):68 View
  62. Htet Y, Zin T, Tin P, Tamura H, Kondo K, Watanabe S, Chosa E. Smarter Aging: Developing a Foundational Elderly Activity Monitoring System With AI and GUI Interface. IEEE Access 2024;12:74499 View
  63. André M, Enez J, Charras K, Besançon M, Delouvée S. Autonomy, independence, and participation of nursing home habitants addressed by assistive technology: a scoping review. Disability and Rehabilitation: Assistive Technology 2024:1 View
  64. Jain S, Burke C. Falls Prevention Using AI and Remote Surveillance in Nursing Homes. Journal of the American Medical Directors Association 2024;25(8):105082 View
  65. Jakovljevic M, Deceuninck P, Pistollato F, Daskalopoulos E, Bernasconi C, Carausu F, Rosa M, Progri A, Makarieva M, Krstic K. Return on investment in science: twenty years of European Commission funded research in Alzheimer’s dementia, breast cancer and prostate cancer. Cost Effectiveness and Resource Allocation 2024;22(1) View
  66. Sun C, Burke C. Assessing the Potential of Technology to Describe Resident and Staff Interactions in Assisted Living Facilities. Journal of Gerontological Nursing 2024;50(7):7 View

Books/Policy Documents

  1. Tannous W, Quilty K. Technological Breakthroughs and Future Business Opportunities in Education, Health, and Outer Space. View
  2. Kubassova O, Shaikh F, Melus C, Mahler M. Precision Medicine and Artificial Intelligence. View
  3. Pandelea M, Todiriţe I, Radu Frenţ C, Vlădăreanu L, Iliescu M. Sustainable Intelligent Systems. View
  4. Pasternak E, Smith G. Comprehensive Clinical Psychology. View
  5. Wen Q, Li F. Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. View
  6. Sang T, Sripaoraya C. Impact of Artificial Intelligence, and the Fourth Industrial Revolution on Business Success. View
  7. Nunes L, Cerqueira A, Franco H. Gerontechnology IV. View
  8. Ghosh M. HCI International 2022 Posters. View
  9. Ganapathy K. Smart Home Technologies and Services for Geriatric Rehabilitation. View
  10. Rubeis G, Primc N. Digitalisierung der Pflege. View
  11. Tannous W, Quilty K. Research Anthology on Supporting Healthy Aging in a Digital Society. View
  12. Mansoor C, Chettri S, Naleer H. Emerging Technology for Sustainable Development. View
  13. Zarnegar A. Current and Future Trends in Health and Medical Informatics. View
  14. Rubeis G. Ethics of Medical AI. View
  15. Rubeis G. Ethics of Medical AI. View
  16. Rubeis G. Ethics of Medical AI. View
  17. Perdomo Delgado C, Ripat J, Mallory-Hill S, Bohunicky S. Design, User Experience, and Usability. View