This paper is in the following e-collection/theme issue:

Theme Issue: AI and Human Factors—Towards Successful Application of AI in Health Care (23) Artificial Intelligence (2135) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (999) Home Care (216) Supporting Home Care and Family Caregivers (263)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49788, first published .
Perspectives of Patients With Chronic Diseases on Future Acceptance of AI–Based Home Care Systems: Cross-Sectional Web-Based Survey Study

Perspectives of Patients With Chronic Diseases on Future Acceptance of AI–Based Home Care Systems: Cross-Sectional Web-Based Survey Study

Perspectives of Patients With Chronic Diseases on Future Acceptance of AI–Based Home Care Systems: Cross-Sectional Web-Based Survey Study

Authors of this article:

Bijun Wang1 Author Orcid Image ;   Onur Asan2 Author Orcid Image ;   Mo Mansouri2 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

Journals

  1. Lee L, Salami R, Martin H, Shantharam L, Thomas K, Ashworth E, Allan E, Yung K, Pauling C, Leyden D, Arthurs O, Shelmerdine S. “How I would like AI used for my imaging”: children and young persons’ perspectives. European Radiology 2024;34(12):7751 View
  2. Pitchika V, Büttner M, Schwendicke F. Artificial intelligence and personalized diagnostics in periodontology: A narrative review. Periodontology 2000 2024;95(1):220 View
  3. Hassan M, Kushniruk A, Borycki E. Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review. JMIR Human Factors 2024;11:e48633 View
  4. Anisha S, Sen A, Ahmad B, Bain C. Exploring Acceptance of Digital Health Technologies for Managing Non-Communicable Diseases Among Older Adults: A Systematic Scoping Review. Journal of Medical Systems 2025;49(1) View
  5. Kalisz D. Drivers of artificial intelligence integrated healthcare applications. Patients' perspective. Technological Forecasting and Social Change 2025;216:124144 View
  6. Mizna S, Arora S, Saluja P, Das G, Alanesi W. An analytic research and review of the literature on practice of artificial intelligence in healthcare. European Journal of Medical Research 2025;30(1) View
  7. Wang B, Asan O, Alelyani T. Exploring policy and regulations of clinical AI systems: Views from patients with chronic diseases. Health Policy and Technology 2025;14(5):101035 View
  8. Osnat B. Patient perspectives on artificial intelligence in healthcare: A global scoping review of benefits, ethical concerns, and implementation strategies. International Journal of Medical Informatics 2025;203:106007 View
  9. Lam T, Hu Y, Yi Y, Schulz P, Lwin M, Kee K, Goh W, Cheung M, Lee H, Fan A, Lam P, Lam S, Zhou L, Chen Y, Li F, Lau Y, Wu J, Chiu H, Xu H, Sung J. A Model Predicting Artificial Intelligence Use by Gastroenterology Nurses in Clinical Practice: A Cross‐Sectional Multicenter Survey. Journal of Gastroenterology and Hepatology 2025;40(9):2275 View
  10. Machado C, Voyer B. Applying artificial intelligence to cardiology services: a qualitative exploration of patient perspectives. British Journal of Healthcare Management 2025;31(7):1 View
  11. Le Bonniec A, Sauvaget C, Lucas E, Nassiri A, Selmouni F. Design and Validation of a Chatbot-Based Cervical Cancer Screening Decision Aid for Women Experiencing Socioeconomic Disadvantage: User-Centered Approach Study. JMIR Cancer 2025;11:e70251 View
  12. Alessa T. Anticipations and Requirements of Individuals with Long-Term Health Conditions Regarding Self-Management and Digital Health Support Tools. Patient Preference and Adherence 2025;Volume 19:2901 View
  13. Yahav I, Goldstein A, Geva T, Meir S, Shehory O. Quality Control for Crowd Workers and for Language Models: A Framework for Free-Text Response Evaluation with No Ground Truth. Information Systems Research 2025 View
  14. Qiu R, Song R, Wu X, Feng J, Yang Y, Pan Y, Lin X. From awareness to adoption: a panoramic perspective on the utilization of Internet Medical Services among Chinese patients with chronic disease. BMC Health Services Research 2025;25(1) View
  15. Piechowiak M, Goch A, Panas E, Masiak J, Mikołajewski D, Rojek I, Mikołajewska E. The Global Importance of Machine Learning-Based Wearables and Digital Twins for Rehabilitation: A Review of Data Collection, Security, Edge Intelligence, Federated Learning, and Generative AI. Electronics 2025;14(23):4699 View

Conference Proceedings

  1. Wang B, Zhang Y. 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI). The Impact of Social Media on Caregiver's Mental Well-Being: An Empirical Study View