· Altman, R. (2017). Artificial intelligence (AI) systems for interpreting complex medical datasets. Clinical Pharmacology Therapeutics, 101(5), 585-586.
· Czaja, S. (2017). The role of technology in supporting social engagement among older adults. Public Policy & Aging Report, 27 (4), 145-148.
· Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6 (2), 94-98.
· Derkx, P. (2016). A humanist evaluation of substantial life extension through biomedical research and technology. In A. Pinn (Ed.), Humanism and technology: Opportunities and challenges (pp. 99-122).
· Fernandes, C., Margareth, Â., & Martins, M.(2018). Family caregivers of dependent elderly: Same needs, different contexts – a focus group analysis. Geriatrics, Gerontology and Aging -, 12, 31-37.
· Guo, J., & Li, B. (2018). The application of medical artificial intelligence technology in rural areas of developing countries. Health Equity, 2(1), 174-181.
· Hwang, J. (2019). A Legal Study on The Right of Care Management In The Long-term Care Insurance System For The Elderly, Legal Theory and Practice Review, 7(2), 61-79.
· Hwang, J. (2020). A Study on The Establishment of Effective Infectious Disease Response System Utilizing Smart City Data Hub Platform, Journal of Koream Law, 20(4), 159-178.
· Hwang, J. (2022). A Study on The Financial Inclusion Measures of Fintech Companies using ESG Management -focusing on the improvement measures for the deepening income imbalance after the COVID-19 pandemic-, Journal of Payment and Settlement, 14(2), 481-501.
· Joo, C. (2023). An exploratory study on Japan’s foreign caregiver acceptance policy: Focused on residence status nursing care policy. Journal of the Korea Academic-Industrial Cooperation Society, 24 (9), 334-340.
· Joo, C., & Kim, O. (2023). A study on acceptance policy for foreign care workers in Japan. Multiculture & Peace, 17 (1), 23-41.
· Kim, W. (2024). Legal Consideration of the Characteristeics and Limitations of Korea’s Health Care System. Legal Theory and Practice Review, 12(1), 127-159.
· Ku, I., & Kim, C. (2020). Decomposition analyses of the trend in poverty among older adults: The case of South Korea. The Journals of Gerontology: Series B, 75(3), 684-693.
· Lee, R., & Zhou, Y. (2017). Does fertility or mortality drive contemporary population aging? The revisionist view revisited. Population and Development Review, 43(2) 285-301.
· Movva, S. (2017). Methods and systems for remotely determining levels of healthcare interventions (U.S. Patent No. 9,734,295). Trademark Office.
· Pasluosta, C., Gassner, H., Winkler, J., Klucken, J., & Eskofier, B. (2015). An emerging era in the management of Parkinson's disease: wearable technologies and the internet of things. IEEE Journal of Biomedical and Health Informatics, 19(6), 1873-1881.
· Reddy, S., Fox, J., & Purohit, M. (2019). Artificial intelligence-enabled healthcare delivery. Journal of the Royal Society of Medicine, 112, 22-28.
· Ribeiro, O., Araújo, L., Figueiredo, D., Paúl, C., & Teixeira, L. (2022). The caregiver support ratio in Europe: Estimating the future of potentially (un)available caregivers. Healthcare, 10 (doi: 10.3390/healthcare10010011).
· W. Ring. & C. Ruof (2018). A Regulatory Sandbox for Robo Advice, Social Science Research Network, 26, 38.
· Yoon, D. (2022). Preparing for a New World: Making Friends with Digital Health, Yonsei Medical Journal, 63, 108-111.